Software Development Engineer, Amazon Connect (AWS)

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you inspired to work with a team than launches products with direct and massive impact on Amazon’s customers? Are you excited to join one of the newest and most exciting AWS services?Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.See our section in Andy Jassy 2020 re:Invent keynote - https://www.youtube.com/watch?v=xZ3k7Fd6_eU&t=7516sWe have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate and talented Software Development Engineers to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to design and deliver scaleable, resilient systems while maintaining a constant customer focus.Key job responsibilitiesAs a developer on our team, you’ll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You’ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern web, SOA, NoSQL databases, AI, ML, Big Data and morAbout the teamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Software Development Engineer, Automated Reasoning Identity

Do you want to work hard, have fun, and make history? Do you think fast, dive deep, and get things done? We’re looking for an engineer to help strengthen our customers' security with automation for managed controls.AWS Identity provides the bedrock for secure and continuous access to all AWS services. By quickly connecting millions of users, across the world we empower organizations and enterprises to accelerate their cloud and digital transformation. Engineers within AWS Identity need to be creative, responsible, and curious while working with others to move quickly in turning code into customer solutions. You’re excited about rolling up your sleeves, implementing ideas, and learning from those around you. You relish the opportunity to dig into challenging operational issues, fix them permanently while taking the learning back as you design the next iteration.You will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.Key job responsibilities* Interact with various teams to develop an understanding of security practices and the use of managed controls. * Apply the acquired knowledge to build automated solutions to find problems, or show the absence of security/safety problems. * Design and build scalable systems that evolve with the growth of AWS. * Provide technical leadership and guidance. * Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies. * Can present company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences. * Functional thought leader, sought after for key tech decisions. Can successfully present ideas to an executive level decision maker.About the teamAWS Identity provides services that enable customers to control who can access what in the cloud. Our services enable identity, resource, and access management as well as governance across all of our customers' AWS accounts. Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Computer Science fundamentals, data structures, algorithms, compilers, programming languages ...

Software Development Engineer, AWS Commercial Applications.- VMware

Are you passionate about designing and developing highly available large-scale services? Would you like to invent and build solutions for customers that truly make a difference in their business? Are you a self-starter who is excited to build something new and work at cloud scale? If the answer is yes, then we have an exciting opportunity for you to build new and exciting virtualization capabilities that will transform how the enterprises workload in run the cloud.A wave of innovation is bringing sweeping changes to EC2 services with new virtualization capabilities, deep platform integrations, and unimaginable scale revolutionizing traditional thinking around how we run enterprise workloads in the cloud. We are looking for a Software Development Engineer to build new capabilities to help customers run VMware-based workloads on AWS. The AWS Commercial Applications team within Amazon EC2 defines and builds integrations with external software applications running in cloud environments and helps to modernize enterprise customer workloads. Our team is expanding and continuing to build new capabilities for our customers migrating and running VMware-based workloads on AWS.Key job responsibilitiesAs a SDE, you'll work alongside outstanding builders, principal engineers, and business leaders to create new capabilities that provide enhanced experience for our customers running VMware workloads. All team members actively participate in product definition, technical design reviews, iterative development, code review, and operations. Along with this, you’ll have the opportunity to interact with customers to understand and ensure their needs are met. Clear, professional, verbal and written communication with teammates and customers is an important part of the job.You will be inventing the foundation for the next phase of the products and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.You should enjoy working on complex systems, be customer-centric, and have a proven track record of building exceptionally high quality software that delights customers.About the teamAbout the teamOur team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 3+ years of programming with at least one software programming language experience- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence ...

Software Development Engineer, AWS HealthOmics

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. AWS HealthOmics is a HIPAA-eligible service that enables healthcare and life science customers to efficiently process genomic data at scale. Our team is seeking a Software Development Engineer to join the Usability & Interfaces team.In this role, you will own capabilities that champion how customers interact with our service, including API development, workflow and performance optimizations, and interfacing with high-performance computing (HPC). You will also get an opportunity to support a greenfield customer experience to simplify how life sciences researchers design and discover new drug therapies using state-of-the-art biological foundation models (BioFMs).You’ll thrive in this role if you prefer working on focused teams with high product visibility and ownership. You are a strong communicator who is comfortable pitching new ideas, and moving fast to make those ideas come to life. You are experienced in the entire product development cycle, including customer calls, planning, design, prototyping, launching, and managing operations.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.About the teamABOUT AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Software Development Engineer, Core Shopping

Alexa is a strategic investment for Amazon, and we aim to deliver a voice and touch shopping assistant that is so convenient that customers worldwide will use Alexa every day. Alexa Shopping aims for Alexa to understand the needs of all shoppers regardless of language, background, abilities or economic meansWe are seeking a Software Development Engineer to build on a new, greenfield initiative focused on Deals and Pricing that shapes the arc of invention with Machine Learning and Large Language Models. Your deliverables will directly impact executive leadership team goals and shape the future of shopping experiences with Alexa. You will work with multiple teams across Amazon Stores and Alexa to influence the overall technical direction for optimal outcomes that help shape and deliver, delightful end customer experiences. You will define and drive the top operational and engineering excellence priorities for the Organization.You will have the freedom to experiment, improve and invent on behalf of our customers. Most importantly, you will work for a strong leadership team that optimizes for your growth and pairs you with personalized mentors within and outside the organization, to guide your career.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Software Development Engineer, EKS Anywhere

As a Software Engineer in the Elastic Kubernetes Service (EKS) team working on EKS Anywhere, you will help us deliver the mission of helping customers run containers successfully anywhere. At Amazon EKS, we are building a core set of functionality that allows our customers to create and use Kubernetes at scale in their data centers or on AWS. You will be part of an exceptional team moving the needle towards making containers as the next generation compute platform everywhere. This is an opportunity engineer systems on a massive scale, and to gain top-notch experience in distributed systems and cloud computing.You will be solving challenging technical problems, often ones not solved before, alongside with peers with remarkable technical expertise. The solutions you build will be high impact and rolled out to our large customer base across the world. If you are excited to work in a dynamic environment, we would love to hear from you!Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future10017BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Software Development Engineer, GenAI, Kumo

At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it, and then find and seamlessly connect them to the most appropriate resolution for their need, eventually fulfilling the vision of a self-healing cloud. We are looking for Senior Software Developer with unfettered curiosity and drive to help build “best in the world” support (contact center) experience that customers will love!You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of AI/ML techniques. You will be a key driver in designing and building live production system from AI/ML prototypes.About the teamOur team packs a punch with principal level engineering, science, product, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!ABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on topof AWS services.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Software Development Engineer, Utility Computing

Come build the next generation of Virtual Private Cloud (VPC) @ AWS! Amazon Elastic Compute Cloud (EC2) Networking team gives customers the ability to build secure, scalable, resilient and highly available VPCs. The domain is networking, but it’s all about software. We’re delivering software defined networks at scale. To learn more, check us out at https://aws.amazon.com/vpc/. We are re-engineering our VPC distribution plane as part of Amazon’s initiative to get EC2 performance to be as close as possible to that of on-premise bare metal.We are looking for software development engineers that are passionate about creating application software that underpin the fabric of the EC2 cloud. We are engaged in every part of the software development lifecycle from defining new features to testing them. On a typical day, our engineers use everything from modern day programming languages like Java/Rust/etc for application development, Ruby/Python/etc for automation, MySQL/Redis/JournalDB/RocksDB/etc. for high performance, low latency backends and a host of internal to Amazon tools. We don’t expect you to be an expert in, or necessarily even be familiar with these technologies listed, but we do expect you to be excited to learn about them!In this role, you’ll build software that scales to new heights. With cloud adoption speeding up, you will be challenged with interesting and complex problems to grow our services to meet the ever-increasing customer requirements. You’ll apply your creative and critical problem-solving skills to develop and run multi-tenant services at a massive scale. Above all, you will care deeply about both delighting customers and building high-quality software without sacrificing one for the other.10017BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Software Development Manager, Amazon

We bring Amazon’s vast content forward within one tap to simplify how customers shop on-the-go. Our vision is to innovate on Mobile-first features and app capabilities to make it faster and more fun for Amazon customers to shop on their mobile devices. We are responsible for building new Mobile app features for customers to navigate, discover, and engage with diverse features within the Amazon ecosystem. We seek out opportunities to innovate on customer experiences with limited screen real estate and think bigger than matching parity to Desktop or Mobile Web experiences. We are Mobile trendsetters who deliver delightful, pixel perfect experiences and as a result, focus on unique features that are adaptive to device screen size.We are looking for a Software Development Manager who can define and lead the technical features and integration points for customer-facing product initiatives within the Amazon apps and the Amazon.com experience on desktops and other devices. This role is cross-functional and will work collaboratively with engineering, product management, and design teams across Amazon to define, build, and deliver new customer experiences for mobile app customers.A day in the lifeAbout the hiring groupThe Navigation Experiences (NavX) team's mission is to be an indispensable and trustworthy guide, which provides direction and context to Amazon customers at each point in their shopping journey. We are responsible for helping customers get to their destination faster and for making it more fun to shop wherever they are. To support the builders across Amazon, we enable partners to specify navigation links and hierarchies through our experiences. As Amazon continues to increase in complexity, launch new marketplaces, and add new categories, programs, and modes of shopping, we will have an outsized role to play in helping customers find delight in the breadth of Amazon, rather than feel lost in the maze of complexity.Job responsibilities - Lead a team of engineers through day-to-day scrum, architectural decisions, sprint, and program planning, while leading innovation throughout the team - Work with a high degree of ambiguity - Use creative and analytical skills in developing a product roadmap of new features - Possess excellent writing and verbal communication skills to collaborate in a diverse environment to understand partner team roadmaps and influence other product owners and technical leaders throughout Amazon. Effective communication with external partners is key.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams ...

Sr Generative AI Strategist, Generative AI Innovation Center

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers looking to enhance their business or operational outcomes through the use of advanced and emerging technologies.You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role.Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Key job responsibilities• Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way• Discuss complex industry-specific business concepts with executives, line managers and technologists• Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations • Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learningA day in the lifeABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree, or 7+ years of professional or military experience- 5+ years of experience in the industry as a ML practitioner or executive- Experience participating in the sales lifecycle (directly or indirectly)- Experience in management consulting or related work- Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning ...

Sr Principal Applied Scientist , Artificial General Intelligence

As a Senior Principal Scientist in AGI, you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. More specifically, you will provide thought leadership on and lead strategic efforts in Responsible AI efforts for AGI, covering themes including but not limited to AI Safety, Privacy, and Bias/Fairness, and work with Product, Science, and Engineering teams to deliver short- and long-term RAI solutions in production for a broad class of large-scale models. You will liaise with internal partners (e.g. AWS, Amazon Security, various Amazon businesses leveraging AGI capabilities), as represent Amazon/AGI in external engagements with regulatory bodies and government agencies (e.g. NIST AI Safety Institute) on the topic of Responsible AI. Finally, you will work with academic partners to support our in-house talent with direct access to cutting edge research and mentoring.BASIC QUALIFICATIONSGraduate degree in Computer science/Math or related field.Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launchComputer Science fundamentals in data structures, algorithm design and complexity analysis.Ability to develop machine learning platform strategy in the subdomain of recommender systems for streaming services.Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions.Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. ...

Sr Software Development Engineer

AWS AI is looking for world-class software developers to join the Deep Learning cross-framework team. In this organization, you will be responsible for contributing extensions to the TensorFlow and PyTorch machine learning frameworks and for developing cross-framework solutions to support training of Deep Learning models at scale, involving thousands of accelerators. You will be working in a fast-paced, cross-disciplinary team of engineers and researchers who are leaders in the field. You will take on challenging problems, elicit requirements, and deliver innovative solutions into production that consolidate the AI team as thought leaders in the space.AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Key job responsibilitiesAs a Software Development Engineer in the SageMaker Engines team, you will be responsible for:- Developing innovative solutions for supporting Large Language Model training in a cluster of nodes;- Implementing model parallelism methods such as pipeline and tensor parallelism as extensions to the PyTorch framework;- Implementing sharding of the model training state, activation checkpointing/offloading and other memory saving techniques;- Optimizing distributed training by profiling, identifying bottlenecks and addressing them by improving compute and network performance, as well as finding opportunities for better compute/communication overlap;- Optimizing communication collectives for the AWS network infrastructure;A day in the lifeThe SageMaker Engines team develops technology for supporting training of Deep Learning models at large scale. This entails implementation of model parallelism and memory saving techniques to allow training of models across accelerators as well as implementation of network communication collectives optimized for the AWS infrastructure.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.EEO/AccommodationsAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- 4+ years of non-internship professional software development experience- 4+ years of programming with at least one software programming language experience- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team- Bachelor's degree in computer science or equivalent ...

Sr Worldwide Specialist Solutions Architect - GenAI, Training & Inference

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Within SMGS, you will be part of the core worldwide GenAI Training and Inference team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals. You will be working directly with the most important customers (across segments) in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, model performance evaluations, develop demos and proof-of-concepts, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.Key job responsibilitiesYou will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of AWS technical community, solution architects and, sales with specific customer centric value proposition and demos about end-to-end GenAI on AWS cloud.You will possess a technical and business background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure (Amazon EC2, Lustre), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, as well as target use cases in the cloud. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.You should be passionate about helping companies/partners understand best practices for operating on AWS. An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management. You will have a natural appetite to learn, optimize and build new technologies and techniques. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS ML and EC2 product teams to shape product vision and prioritize features for AI/ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must. About the teamThe Foundation Models (fka Training & Inference) team is highly specialized on computational workloads, performance evaluations and optimization. We work with Foundation model builders and large scale training customers, dive deep into the ML stack including the hardware (GPUs, Custom Silicon), operating system (kernel, communication libraries (NCCL, MPI), Frameworks (PyTorch, NeMO, Jax) and models (Llama, Nemotron...). We also work with containers (Docker, Enroot), orchestrators (EKS) and schedulers (Slurm).Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- 3+ years of design, implementation, or consulting in applications and infrastructures experience- 8+ years of IT development or implementation/consulting in the software or Internet industries experience ...

Sr Worldwide Specialist Solutions Architect, Research - GenAI, Training & Inference

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Within SMGS, you will be part of the core worldwide GenAI Applied Computational Machine Learning team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals.You will be working directly with the most important customers (across segments) in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS. You will conduct model performance evaluations, optimizations and work directly with engineering and product to optimize the ML stack for efficiency and scale. You will conduct external/internal evangelism, and developing demos and proof-of-conceptsKey job responsibilitiesYou will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of AWS technical community, solution architects and, sales with specific customer centric value proposition and demos about end-to-end GenAI on AWS cloud.You will possess a technical and business background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure (Amazon EC2, Lustre), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, as well as target use cases in the cloud. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.You should be passionate about helping companies/partners understand best practices for operating on AWS. An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management. You will have a natural appetite to learn, optimize and build new technologies and techniques. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS ML and EC2 product teams to shape product vision and prioritize features for AI/ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must. About the teamThe Foundation Models (fka Training & Inference) team is highly specialized on computational workloads, performance evaluations and optimization. We work with Foundation model builders and large scale training customers, dive deep into the ML stack including the hardware (GPUs, Custom Silicon), operating system (kernel, communication libraries (NCCL, MPI), Frameworks (PyTorch, NeMO, Jax) and models (Llama, Nemotron...). We also work with containers (Docker, Enroot), orchestrators (EKS) and schedulers (Slurm).Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- 3+ years of design, implementation, or consulting in applications and infrastructures experience- 5+ years building or optimizing computational applications for large scale HPC systems (e.g. physics based simulations) to take advantage of high performance networking (e.g. Amazon EFA, Infiniband, RoCE), distributed parallel filesystems (e.g. Lustre, BeeGFS, GPFS) and accelerators (e.g. GPUs, custom-silicon)- Understanding of deep learning training and inference workloads and requirements for high performance compute, network and storage ...

Sr WW Specialist Solutions Architect, Research - GenAI, Applied Computational Machine Learning

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Within SMGS, you will be part of the core worldwide GenAI Applied Computational Machine Learning team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals.You will be working directly with the most important customers (across segments) in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS. You will conduct model performance evaluations, optimizations and work directly with engineering and product to optimize the ML stack for efficiency and scale. You will conduct external/internal evangelism, and developing demos and proof-of-conceptsKey job responsibilitiesYou will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of AWS technical community, solution architects and, sales with specific customer centric value proposition and demos about end-to-end GenAI on AWS cloud.You will possess a technical and business background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure (Amazon EC2, Lustre), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, as well as target use cases in the cloud. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.You should be passionate about helping companies/partners understand best practices for operating on AWS. An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management. You will have a natural appetite to learn, optimize and build new technologies and techniques. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS ML and EC2 product teams to shape product vision and prioritize features for AI/ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must. About the teamThe Applied Computational Machine Learning team is highly specialized on computational workloads, performance evaluations and optimization. We work with Foundation model builders and large scale training customers, dive deep into the ML stack including the hardware (GPUs, Custom Silicon), operating system (kernel, communication libraries (NCCL, MPI), Frameworks (PyTorch, NeMO, Jax) and models (Llama, Nemotron...). We also work with containers (Docker, Enroot), orchestrators (EKS) and schedulers (Slurm). We work and influence with the most technical customers and advanced engineering teams in the GenAI space and develop best practices and tools to measure and optimize performances throughout the ML stack. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- 3+ years of design, implementation, or consulting in applications and infrastructures experience- 5+ years building or optimizing computational applications for large scale HPC systems (e.g. physics based simulations) to take advantage of high performance networking (e.g. Amazon EFA, Infiniband, RoCE), distributed parallel filesystems (e.g. Lustre, BeeGFS, GPFS) and accelerators (e.g. GPUs, custom-silicon)- Understanding of deep learning training and inference workloads and requirements for high performance compute, network and storage ...

Sr. Applied Scientist, Amazon Bedrock

Amazon is seeking a passionate, talented, and inventive Senior Applied Scientist with a strong background in machine learning. Your mission will be to contribute to the development of industry-leading technology in generative AI and foundational models. As a member of our science team at Amazon AWS Bedrock, you will design and implement post-training algorithms and modeling techniques to advance the state-of-the-art. Your work will empower millions of customers to effortlessly build applications leveraging cutting-edge Multi-modal Models and LLMs. This role offers a unique opportunity to gain hands-on experience with large-scale computing resources, accelerating breakthroughs in machine learning and foundational models. Key job responsibilitiesAbout the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD in CS, ML or related field, or Master with equivalent years of experience- 5+ years work experience in industry environments- Experience programming in Java, C++, Python or related language- Experience developing ML models and systems to deliver product capabilities, and demonstrated ability to own problems end-to-end (able to innovate to bridge gaps and willing to learn missing knowledge)- Patents or publications at top-tier peer-reviewed conferences or journals ...

Sr. Cloud Technical Account Manager, AWS Strategic Industries

Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to organizations ranging from start-ups to Fortune 500 enterprises.The TAM role is not directly hands on keyboard within the customer’s environment for troubleshooting customer support issues, rather you will work with appropriate engineers and service teams to see issues through to resolution. More importantly you will work proactively to help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more.Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer’s environment, and drive discussions with senior leadership regarding incidents, trade-offs, support and risk management.You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers’ AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed.The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us!AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Key job responsibilitiesThe TAM role is not directly hands on keyboard within the customer’s environment for troubleshooting customer support issues, rather you will work with appropriate engineers and service teams to see issues through to resolution. More importantly you will work proactively to help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more.Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer’s environment, and drive discussions with senior leadership regarding incidents, trade-offs, support and risk management.A day in the lifeOur Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. You’ll provide advice on architecture, support strategy, project, and launch planning as well as ongoing operational issues. This position will require the ability to travel 10% or more as needed.Watch a short video about life as a Technical Account Manager here: https://bit.ly/3alg2gHAbout the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. EEO/AccommodationsAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- Bachelor’s Degree in Computer Science, Math, or related discipline, and 3+ years of equivalent work experience or 5+ years of related work experience.- 3+ years of technical engineering experience- Experience in Informational Technology operations ...

Sr. Product Marketing Manager, Telecom, AWS Product Marketing

Are you an experienced product marketing leader in the Telecom industry? Are you passionate about how technology can be used to solve business problems? Are you eager to shape the way Telecom companies innovate and modernize their businesses? Industry verticals have unique needs and paths for cloud adoption, and the AWS Industry Product Marketing team helps drive product strategy, go-to-market motions, and marketing activities that help industry customers transform their businesses using the broadest and deepest portfolio of cloud services and solutions. We develop crisp, highly differentiated, and compelling positioning and messaging to address industry-specific customer needs. We tell AWS's most important and interesting stories to educate industry customers about what is possible when they build on AWS for their specialized use cases.As a senior product marketing manager for the Telecom industry, you will help define and drive messaging and thought leadership content for the vertical. You will deliver customer-centric storytelling across marketing channels to highlight how our vertical offerings drive meaningful, measurable customer impact in the Telecom space. You will own our marketing activities and presence for large-scale events, product launches, and customer and partner announcements, and develop programs that enable and educate AWS sales and GTM teams about our Telco-specific offerings. You will get to work on a rapidly growing business that has a real impact on people's everyday lives.The ideal candidate has a passion for technology services and how they can be used to create business outcomes in the Telecom vertical, the ability to transform complex technical concepts into easy-to-understand messaging and materials, and experience building and improving scalable mechanisms to deliver results. A proven track record of excelling in a data-driven product marketing organization is essential, Telecom industry subject-matter expertise desired but not required.This role can be based in Santa Clara (CA) or Seattle (WA). Relocation to Seattle only from within the US.Key job responsibilities• Craft & develop compelling stories, content and tools (e.g. presentations, whitepapers, infographics, webinars, customer success stories, product videos.) that land our Telecom value proposition• Engage with customers and partners to drive advocacy• Own content strategy and execution for key communication channels including website, blog, social, on-network promotion, and emails• Plan and execute marketing initiatives at industry events to showcase Telecom messaging, content, keynotes, and breakout sessions• Collaborate with AWS field support teams to maintain internal sales hubs with the latest industry resources, value propositions, and sales enablement content• Partner with other marketing teams (e.g., web content, campaigns, demand generation, field teams, and events) to drive and execute on global marketing initiatives.• Continuously measure and optimize product marketing initiativesAbout the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 6+ years of professional non-internship marketing experience- Experience in a marketing focused role including customer lifecycle marketing, segmentation reporting, customer funnel analysis, and top-line sales performance- Experience driving direction and alignment with cross-functional teams- Experience guiding creative input, development and execution from concept to completion- Experience presenting metrics and progress to goal to senior leadership ...

Sr. Software Development Engineer, AWS Industry Products

The AWS Industry Products (AIP) team directly collaborates with strategic customers to build new, industry-specific products that directly impact and transform industries at AWS scale. We are a team of innovators that tackle difficult problems, and build products through fast iteration in a start-up like environment.We are looking for a Sr. Software Development Engineer obsessed with customer success, passionate about solving difficult problems, specifically for the automotive industry and delivering new products at AWS scale.As a Sr. Software Development Engineer, you will be responsible for designing, developing, testing, and deploying Highly-scalable distributed systems for our largest automotive customers. You will work closely with other engineering and product leaders to influence our overall strategy and develop new features and solutions that solve broader industry challenges. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment.Key job responsibilities* Work backwards from customer needs, collaborate with product and other leaders to influence the product direction and deliver highly-scalable technical solutions* Provide system-wide view and design guidance, and drive engineering best practices and set standards for other engineers in the team* Break down complex software project into parallel work that can be performed by you and other SDEs and then reassembled successfully into a cohesive launch* Participate in the hiring process as well as mentor others - improving their skills, their knowledge of your software, and increase team’s productivity.About the teamAbout AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...

Sr. Technical Program Manager, Amazon Conversational Search

Amazon Conversational Search is the exciting new LLM-based feature in the Amazon App (look in your app's bottom right corner!) to allow customers to engage with Amazon in natural language conversations. We are looking for a Senior Technical Program Manager to deliver mission critical programs to build the leading edge infrastructure behind this experience as well as build new delightful customer experiences in this space.Key job responsibilitiesKey responsibilities for the role will include: * Running high visibility programs across multiple teams (ten or more) in Amazon Search. * Managing stakeholders across these teams as well as senior leadership of Search and adjacent orgs.* Mentoring and growing other technical leaders to help them scale and lead mission critical initiatives.* Using data and key metrics, to drive improvements that enhance our operational effectiveness.A day in the lifeAs a senior leader in this emerging critical space for Amazon, you will have exposure to teams and leaders across the entire company. You will be a part of a leading edge research and development team and will work on many aspects of the Amazon business. You will have a direct impact on our bottom line and the ability to improve things for our customers. You will have ownership and responsibility for defining and executing processes that deliver productivity for our developers and delightful experiences for our customers.About the teamWe are a part of Amazon Search focused on building a LLM-based conversational shopping experience called Rufus (search for Amazon Rufus). Our goal is to allow customers to intuitively engage with Amazon in natural language to get the most convenient shopping experience.BASIC QUALIFICATIONS- 5+ years of technical product or program management experience- 8+ years of working directly with engineering teams experience- 3+ years of software development experience- 5+ years of technical program management working directly with software engineering teams experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...