Software Development

Join the Career Canvas Team at Amazon as a Front End Engineer II and help revolutionize employee development and career progression within Amazon's People Experience and Technology (PXT) group. As a key member of our team, you will:- Contribute to building tools that empower Amazonians to navigate their career growth- Develop user-friendly interfaces that make career opportunities more visible and attainable for employees across Amazon- Collaborate with a dynamic team formed in early 2024 to bring fresh ideas to life in a fast-paced environmentYour expertise in front-end technologies will directly impact how Amazon's workforce interacts with critical career development resources. If you're passionate about creating intuitive, scalable web applications that can shape the future of employee experience at one of the world's largest companies, this role offers an opportunity to make a significant impact.Key job responsibilities- Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.- Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.- Mentor and guide the team members to solve complex problems with simple solutions.- Drive big ideas to improve the customer experience we deliver across multiple touch points- Develop high quality, testable, and maintainable user interfaces.- Work in an agile environment to deliver high-quality software.A day in the lifeAs a Front End Engineer II on the Career Canvas Team, you'll develop and enhance the tools that empower Amazon employees to drive their careers forward. You'll own and deliver large frontend features for critical career development systems like Role Guidelines and the Work Contributions framework. Your work will directly impact millions of Amazonians worldwide, solving challenging problems to create intuitive, scalable interfaces. In this fast-paced environment, you'll manage ambiguity and work in rapid development cycles, collaborating with a dynamic team to shape the future of employee experience at Amazon.About the teamThe Career Canvas Team, formed in early 2024, is a innovative initiative within Amazon's People Experience and Technology (PXT) group. Our mission is to revolutionize employee development and career progression at Amazon. We're building essential frameworks like Role Guidelines and Work Contributions to help create clear, accessible pathways for career growth. Our team culture thrives on rapid innovation and collaboration, working closely with stakeholders across Amazon. We're passionate about empowering Amazonians by developing intuitive tools that make career opportunities more visible and attainable. Join us in shaping the future of employee experience at one of the world's most innovative companies.BASIC QUALIFICATIONS- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience- 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience- Experience using JavaScript frameworks such as angular and react ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Robotic Movement team is seeking a deeply technical, highly motivated and hands-on machine learning engineer to take our robotic mobility solution to its next level! To advance the capabilities of the largest fleet of Amazon robots, the team is envisioning a next generation AI-powered mobility architecture. As a machine learning software engineer, you will be a thought leader in supporting the ground-up development and scaling of these initiatives across navigation, mapping, path planning and data services. You will gain hands-on experience with large-scale robotic fleet optimizations to accelerate advances in machine learning and foundation models.Key job responsibilities* Lead, design and support the development of novel ML systems, product integrations, and performance optimizationsDesign, develop, integrate, troubleshoot, optimize, test and lead the development of software which control and optimizes robotic fulfillment centers at very large scale* Prototype and test concepts or features, both through simulation tools and emulators and with live robotic equipment* Collaborate closely with the research organization, principal applied scientists and software engineers to bring research to production* Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations* Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organizationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- Experience programming with at least one software programming language- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience in machine learning, data mining, information retrieval, statistics or natural language processing- 2+ years of experience in object-oriented programming and modern programming languages (C, C++, Java, Kotlin, Python) ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Robotic Movement team is seeking a deeply technical, highly motivated and hands-on machine learning engineer to take our robotic mobility solution to its next level! To advance the capabilities of the largest fleet of Amazon robots, the team is envisioning a next generation AI-powered mobility architecture. As a machine learning software engineer, you will be a thought leader in supporting the ground-up development and scaling of these initiatives across navigation, mapping, path planning and data services. You will gain hands-on experience with large-scale robotic fleet optimizations to accelerate advances in machine learning and foundation models.Key job responsibilities* Lead, design and support the development of novel ML systems, product integrations, and performance optimizationsDesign, develop, integrate, troubleshoot, optimize, test and lead the development of software which control and optimizes robotic fulfillment centers at very large scale* Prototype and test concepts or features, both through simulation tools and emulators and with live robotic equipment* Collaborate closely with the research organization, principal applied scientists and software engineers to bring research to production* Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations* Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organizationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- Experience programming with at least one software programming language- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience in machine learning, data mining, information retrieval, statistics or natural language processing- 2+ years of experience in object-oriented programming and modern programming languages (C, C++, Java, Kotlin, Python) ...

Would you like to redefine the speed at which Amazon delivers packages and delight our end customers as well as our Delivery Associates? Did you ever wonder about technologies that are in place that help us deliver packages at this scale to our customers? Come and join the Amazon Last Mile technology (LMT) team to work hard, have fun, and make history by ensuring the right technologies are being leveraged to efficiently meet our customer delivery commitments within our growing logistics network at Amazon. The team will be focused on designing and implementing solutions & tool-sets to help Last Mile delivery associates and station managers to scale and operate efficiently in the increasingly complex delivery network.Our team is actively seeking motivated and multi-talented engineers who are passionate about technological and business innovation. You will lead and grow a talented team of engineers who develop and integrate cutting-edge technologies, machine learning, and cloud computing into pragmatic solutions for package transportation, logistics, and delivery.Key job responsibilitiesSuccessful candidates will embody the entrepreneurial spirit, wear many hats, and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span real-time, embedded, and distributed systems. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun, and drive a positive impact on millions of customers.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!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 ...

Are you a developer who has hands-on experience with building cloud-native applications? Would you like to work with our customers to help them architect, develop and re-engineer applications to fully leverage the AWS Cloud?Do you like to work on a variety of cutting edge, business-critical projects at the forefront of application development and cloud technology adoption?In order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications.AWS is looking for talented hands-on technical architects and senior developers to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon’s world-class technical teams, working with some of the best and brightest engineers while also developing your skills at one of the most innovative and progressive technology companies. Here in Professional Services, we engage in a wide variety of business-critical, high-profile projects for customers and partners and help them better leverage the ever-evolving AWS platform.Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.We are looking for hands-on application architects and developers who will:- Work as a technical leader alongside customer business, development and infrastructure teams- Lead technical and design discussions with IT executives to help enterprises speed their adoption of new technologies and practices- Architect and build highly scalable, cloud-native applications on the AWS platform using core developer services such as: API Gateway, Lambda, SQS, DynamoDB and ECS- Leverage new technology paradigms (e.g., serverless, containers, microservices)- Migrate monolithic applications to micro services architectures- Advise on implementing AWS best practices- Influence infrastructure architecture by sharing your application development expertise- Represent the voice for developers internally and influence our AWS Professional Services offerings and AWS product strategy for developers by working with AWS platform engineering, Business Development and other cross-functional teamsOur Consultants work with enterprise customers locally, regionally and potentially domestically. As such, Consultants will be required to travel to client locations to sell and deliver professional services as needed.It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.About the teamWhy 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.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.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 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 & 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 large scale software development or application engineering with recent coding experience in two or more modern programing languages such as: Java, JavaScript, C/C++, C#, Swift, Node.js, Python, Go, or Ruby- 3+ years of experience as a technical specialist in Customer-facing roles- Experience with Agile development methodologies and Continuous Integration and Continuous Delivery (CI/CD) experience- Cloud development experience- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Amazon DSP (Demand Side Platform) team is looking for Front-End or Full Stack engineers to help us define and build the seamless customer experience and high performance application for our next generation ad program. You'll play a critical role in the design and implementation of a strategic product for advertisers to manage their ad creatives and campaign landing pages.Key job responsibilitiesYou are enthusiastic about helping in defining our products, shaping ambiguous business goals into working software solutions. You are comfortable taking initiative and working across teams in a relatively unstructured environment. You have well-honed, insightful architectural design instincts, and enjoy building simple and elegant systems that will scale to support millions of users. Passion for the customer and their experience with our products is a key requirement for you. As an engineer, you enjoy working on MVP products, innovating on behalf of the customer, and building systems that will form the foundation of this highly strategic new businesses.It won’t be easy. The challenges that come with scale and the semi-connected nature of Amazon devices will pose interesting, unique technical problems. These are big challenges that will move the needle for our advertising program.Come help us take this to the next level!A day in the lifeAs a Front End Engineer in Amazon DSP Creative Experience, you will be solving problems for global brands while obsessing over the customer experience for shoppers viewing these creatives.About the teamThe DSP Creative Experience team is focused on the needs of the most well-established brands in the world who seek to influence the Amazon shopper journey through advertisements. These sophisticated advertisers attract Amazon shoppers to their products and brands through digital advertising, both online (on-site and off-site) and out-of-home, including physical stores. Our ads span a variety of mediums including display, video, and audio experience.BASIC QUALIFICATIONS- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience- 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience- Experience using JavaScript frameworks such as angular and react ...

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to make breakthrough foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming cutting-edge research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.Key job responsibilities- Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools- Collaborate closely with scientists to influence model architectures for optimal hardware utilization- Design and implement efficient compilation pipelines for complex transformer architectures- Develop comprehensive benchmarking frameworks to measure and optimize model performance- Build robust monitoring solutions to ensure reliable model serving at scale- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers- Maintain high engineering standards through proper testing, documentation, and code review practicesA day in the life- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques- Partner with scientists to analyze model architectures and propose efficiency improvements- Implement and benchmark various optimization strategies for large-scale models- Debug performance bottlenecks using NVIDIA profiling tools- Participate in technical discussions about new model architectures with the science team- Design and maintain performance monitoring systems for production deployment- Prototype new acceleration approaches using emerging compilation frameworksAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAt Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through groundbreaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- 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- Strong expertise in Python, C++ and CUDA programming- Experience with TensorRT or similar ML optimization frameworks- Track record of optimizing ML models for production ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.Our team focuses on building enterprise and consumer grade Customer Terminals, for use by our customers to access internet through the Project Kuiper.We are looking for an embedded Software Development Engineer to own, design and develop Customer Terminal system software for Project Kuiper, using embedded Linux, and custom Silicon. Kuiper is breaking new ground with every device we design, and you will be an integral part of bringing this family of products to customers.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesDevelop embedded software for Customer Terminal devices within the Project Kuiper system.Participate in all phases of SDLC including requirements gathering, design, code, test, and code/test coverage.Developing embedded software in assembly, C, C++, Rust or other languagesHave in-depth knowledge with real-time embedded software philosophies and practicesHave expertise with Linux and RTOSReview schematics, logic analyzer, and embedded software (bare-metal) trouble-shooting techniquesFamiliarity with cryptography, threat modeling, and secure SDLC, TrustZone, bootloader.Develop embedded software in C, C++, Rust, or other modern languages.Write drivers for peripherals and interfaces such as I2C/I3C, SPI, UART, GPIO etc.Work closely with hardware teams to support board bring-up and integration testing.A day in the lifeYou will lead a team of embedded SDEs responsible for leading the design of embedded software used in the Project Kuiper customer terminal products. You will work in a collaborative environment with teams inside and outside of Amazon. You will mentor a team of software engineers on best practices while you guide your software designs from requirements gathering through mass production.About the teamThe Kuiper Customer Terminal Software Team supports the devices that connect our customers to the Kuiper network. We provide software for both applications and the underlying Linux platform. We work hand in hand with hardware, product and operations teams to deliver a great experience for our customers.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 ...

At AWS, we're working to be the most customer centric company on earth. To get there, we need exceptionally talented, smart, and driven individual. The Data Center Availability team works with the hundreds of AWS data centers around the globe to deliver the highest quality and lowest cost physical security, availability, capacity, and scaling results for our customers. Our aim is to standardize operations globally by delivering tools, policy, processes and procedures to our internal teams. The Availability team is seeking a Full stack software engineer to design, develop, and implement software solutions for our Condition based maintenance, Asset management, Field engineering failure handling and Global Environmental Information Management Systems (EIMS).AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilitiesAs a Full Stack software engineer, you will:• Design software solutions to enable new features or improve software. * Work with business stakeholders to identify customer needs and convert them in to goals.* Suggest and implement best practices for coding, design and operational excellence.* Mentor L4 engineers and develop themWork/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.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.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- 3+ 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- 3+ years of full stack development experience ...

The Amazon Search Relevance team owns ranking relevant results when customers search for products on Amazon. Our systems and algorithms operate on one of the world's largest product catalogs, surfacing the right products - with a high relevance bar and strict latency constraints. We are looking for Machine Learning Engineer to join our Search MLOps team to help accelerate ML lifecycle automation and MLOps best practices adoption across all of CDO.This cross-functional team will focus on building state of the art ML automation features critical to CDO use-cases in close partnership with the AWS SageMaker team. As an engineer on this team you will be working closely with Senior Software Engineers in CDO and SageMaker to define common ML lifecycle best practices, and to design and build pioneering world-class ML automation features on top of SageMaker for multiple domains and use-cases. This is a unique opportunity to gain technical expertise in highly sought-after skills at Amazon scale, to learn SageMaker technologies, and to apply these skills to create production pipelines for the entire ML model lifecycle from training to inference. Your contributions will have a major impact by enabling, not only CDO orgs, but also external AWS customers who operate at Amazon scale. Our ideal candidate is collaborative, innovative, and interested in working on the intersection of Machine Learning, Software Engineering, and AWS ML architecture. Key job responsibilities1. Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points2. Design and develop tools for monitoring the performance of machine learning models at scale3. Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments4. Design and develop reproducible ML Pipelines orchestrating various components for ML models.5. Embrace and champion engineering best practices within your group and beyond6. Produce clean, high-quality code, tests, and written documentationBASIC 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- Experience in machine learning, data mining, information retrieval, statistics or natural language processing ...

We are looking for a talented Quality Assurance Engineer (QAE) to join our team working on the Selling Assistant, a cutting-edge initiative aimed at revolutionizing AI-driven customer service solutions. In this role, you will have the opportunity to work on complex systems involving Large Language Models, (LLMs), Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning technologies. You will help build an intelligent assistant capable of transforming the way Sellers interact with Amazon's ecosystem.Would you like to work with transformative LLM tech to delight Sellers? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Selling Partner Experience org is the place for you.We are looking for quality assurance engineers who thrive on complex problems and relish the challenge of operating complex and mission-critical systems under extreme loads. Do you think you are up to the challenge? Or would you like to learn more and stretch your skills and career?The successful candidate is expected to contribute to all parts of the software development and deployment lifecycle, including design, development, documentation, testing and operations. They must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. They need to really enjoy working closely with their peers in a group of very smart and talented engineers.We're looking for people who are smart and can get things done, though the following skill sets provide a good foundation for a quick ramp up to being productive in our Java, Python, LLM, and Dynamo DB tech stacks. We're looking for a range of experience, from brilliant and motivated new college graduates to technical leaders with battle-tested wisdom.BASIC QUALIFICATIONS- 2+ years of non-internship professional software development testing experience- 1+ years of test automation frameworks and tools building experience- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design- Experience in penetration testing and exploitability-focused vulnerability assessment- Experience in platform-level security mitigations and hardening for Linux and Windows ...

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEAs a Director, Software Development, you'll lead a high-performing team building innovative personalization systems that power content discovery and recommendation experiences across Audible's platforms. This position requires a leader with strong technical acumen in machine learning systems, recommendation systems proven people management experience, and the ability to drive technical strategy while delivering customer-focused personalization solutions.ABOUT THE TEAMThe Personalization team's mission is to help customers discover their next great listen by personalizing every interaction they have with Audible content. We develop scalable frameworks and systems that transform customer signals into meaningful insights, enabling personalized, contextual recommendations across our platforms. Our teams work with cutting-edge ML technologies and large-scale distributed systems to process billions of content interactions and deliver real-time personalized experiences.ABOUT YOUYou're a strategic technical leader who thrives on solving complex personalization problems at scale. You have deep experience building and leading engineering teams, with a strong foundation in recommendation systems and distributed computing. You're passionate about developing talent and creating an inclusive team culture that drives innovation. You demonstrate excellent judgment in balancing technical tradeoffs while maintaining unwavering focus on customer experience and business impact.As a Director, Software Development, you will...- Lead and grow a team of ML/software engineers building personalization and recommendation systems, providing technical mentorship and career development while fostering an inclusive environment- Own the technical strategy and roadmap for personalization systems that power discovery experiences across Audible platforms- Drive architectural decisions and technical excellence in building scalable recommendation pipelines and frameworks- Partner with product, science, and platform teams to define and execute on personalization initiatives- Establish and optimize development processes that enable rapid experimentation while maintaining high quality standards- Build mechanisms to measure and improve the customer impact of our recommendation systems- Lead hiring and development of diverse technical talent- Drive operational excellence in deploying and maintaining large-scale personalization systems- Influence cross-team technical decisions and contribute to broader organizational strategy- Champion best practices in ML engineering, including experimentation, testing, and monitoringABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- 7+ years of software engineering experience with 3+ years of people management experience- Experience building and operating large-scale ML/recommendation systems in production- Technical background in distributed systems, data processing, and ML infrastructure- Track record of delivering complex technical projects through effective team leadership- Bachelor's degree in Computer Science, Engineering or related field ...

As a member of the S3 Console team you get to build intuitive user-experiences as the first customer for every S3 feature launch. Amazon Simple Storage Service (S3) is storage for the Internet. The S3 Console is often the first touchpoint for many of our customers, providing the ability to store and retrieve any amount of data from anywhere in the world. Beyond just a frontend for S3 features, the console is a product on its own that drives overall S3 adoption and customer satisfaction. Our console helps customers understand ‘what’ they have, ‘how’ their storage is being used, and the ‘actions’ they can take based on their use cases. Our team is a mix of full stack engineers, frontend engineers, and quality assurance engineers working closely with UX and Product Management to solve challenging problems on behalf of S3 customers. Our customers come from diverse backgrounds spanning different personas, differing levels of experience, different countries, and different expectations on how they would like to interact with AWS S3. As member of the S3 Console, you get to deliver delightful customer experiences for millions of users.Key job responsibilitiesThe S3 Console team is looking for Front-End Engineers (FEE’s) to create beautiful customer facing products and innovate to improve experiences for millions of users. In this role, you will develop new features and improvements for the S3 console, working with your team, product managers and UX designers to build web-based products that delight our customers. You will own customer facing features through the entire life-cycle, from design, implementation, testing, deployment and into production. You will work to optimize applications for performance and reliability.About the teamThe S3 Console is the second most-visited AWS Console with over 1.5 million unique identities using our console each week. Our work is a balance of S3 feature support, AWS Console expectations, and our own vision to make the console a valuable tool for our customers. S3 is investing in the success of the team and our vision, we are growing rapidly to make our vision a reality.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.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.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- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience- 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience- Experience using JavaScript frameworks such as angular and react ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management.You will be developing, implementing and maintaining the information data lake and utilizing insight platforms to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements.Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.About the teamThe Central Infrastructure Analytics Team (CIAT). We are a team of engineers and scientists committed to providing accurate, actionable data and insights that support business decisions within Infrastructure Operations.We provide unified data sources and business intelligence solutions to the Infrastructure Operations (InfraOps) global teams. We obsess over providing low-latency, accurate, actionable data to customers throughout AWS, accomplished through self-service data access, subscription-based reporting, and comprehensive analyses. We lead the business with predictive and prescriptive analyses providing our partners the insights and the anticipatory forecasting they need to deliver best in class services to our customers, promoting cost reduction, increased sustainability, and overall efficiency.CIAT are responsible for the sourcing, centralizing, preparing and vending both raw data and processed data/reports, to our customers across all aspects of AWS and Data Center Operations. We differ from other central teams as our remit is both cross functional and function specific depending on the individual customer requirements. We are uniquely positioned to provide an integrated perspective based on the available data feeds. We continually expand our data sources to maintain alignment with the changing business systems and requirements of our customers. We actively engage with our partner teams to grow our business knowledge so that our developed solutions reflect the collective knowledge gained through our partnerships. We are responsible for the data quality and security, ensuring that the vended data subscribes to Amazons least privilege and business need-to-know ethos. We support direct access to >4400 data tables across >360 schemas, developed and manage >390 reports within >75 dashboards, and provide direct report and data access to >5000 unique users across AWS. Through the development and transition to LakeSQL, CIAT have enabled the user-manager access to >300 additional datalakes, via OMNI, removing CIAT data transfer pipelines as a user data access constraint. 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.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.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. 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.We’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 data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

Do you want to build cutting-edge highly scalable services & infrastructure using AWS technologies and support new machine learning initiatives? Does the prospect of building services serving billions of requests per day while maintaining response latencies in milliseconds and meeting strict SLA requirements, excite you?The Books Personalization team helps customers to find the next book they would love. Our systems and algorithms operate on one of the world's largest book catalogs, recommending books to customers - with a strict latency constraint. We are a team of software engineers working alongside machine learning scientists on complex solutions to understand the customer intent and present them with books are relevant to their liking.We are looking for a Software Engineer, who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of recommendation systems in Amazon Books. You will build services to handle billions of requests per day, while maintaining response latencies in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. You will develop ML models either from scratch or by modifying existing algorithms. The solutions you create would drive step increases in building better recommender and/or helping more customers. You will directly impact our customers’ book shopping experience. This role will provide exposure to cutting-edge innovations in recommender system, as well as working experience on science side of the spectrum.About the teamThe Recommendations Xperiences (REX) "Core Recs" team is an engineering-focused team working in the Books Personalization domain. Together, we build novel services, infrastructures, and Machine Learning (ML) models to enhance the book personalization experience for customers.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 ...

Are you looking to apply your mobile development skills to problems on a global scale while impacting millions of users on a daily basis? Are you interested in developing science-driven technology that will help Amazon deliver packages worldwide efficiently and quickly?Amazon Flex is the system that collaborates with crowd-sourced and third-party delivery partners to complete deliveries for many of Amazon's programs. Our mobile application works in concert with our advanced logistics systems and predictive analytics. These technologies allow delivery partners to on-board, schedule delivery times in advance or on demand, and be guided through their deliveries with in-app mapping, navigation, and much more. Our ability to engage with, support and provide a world-class experience to both customers and our delivery partners has become more critical as we continue to expand the number of active delivery partners and target faster deliveries to our customers.Key job responsibilitiesAs an engineer on our team, you will own software in all phases of the software life-cycle from architecture and design through deployment and release. You will help create scale-able, global applications. You will also build applications to manage automated scheduling and engagement to meet capacity needs. You will learn about Amazon’s logistics network, interact with other teams to build optimized systems, and have autonomy to deliver software which impacts multiple delivery provider programs.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- Experience building complex software systems that have been successfully delivered to customers- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems ...

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks. By applying to this position, your application will be considered for all locations we hire for in the United States.Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel, Annarpuna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.The Annapurna team hires for multiple disciplines Software and Hardware engineers including but not limited to compiler engineer, machine learning engineer, runtime engineer, performance engineer and ML chip accelerator, ASIC, physical designs, SDE in Test. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.If this sounds exciting to you - come build the future with us!Key job responsibilitiesInnovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safetyWriting requirements capturing documents, design documents, integration test plans, and deployment plansCommunicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersBASIC QUALIFICATIONS- Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2025 and September 2026- Programming experience in internship or coursework with programming language such as Python and/or C or C++- Candidates with strong interests and academic qualifications/research focus in two of the following: 1. Knowledge of code generation, compute graph optimization, resource scheduling, 2. Data structure and algorithms, 3. Compiler - Optimizing compilers (internals of llvm, clang, etc), 4. Machine Learning - Experience with XLA, TVM, MLIR, LLVM, 5. Deep learning models and algorithms, 6. Tensorflow, PyTorch, or MxNET frameworks ...

Are you interested in helping Amazon make history and redefine the meaning of ‘fast’ in eCommerce? We are the Same Day Delivery Experience team and are in the early innings of reinventing the Amazon shopping experience to make Amazon the first place customers think to shop when they need something today, wherever they are in the world. We’re looking for a Software Engineer for the Same Day Delivery Experience team to help ensure we have a compelling and friction-free ‘delivery in hours’ experience available to our customers, and help drive continuous innovation and improvement of the delivery experience across all phases of shopping, buying, and pre and post purchase experience.This role involve using Machine Learning model to predict demand forecast for SSD program at different granularity.A successful engineer in this role is:You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and methods which support rational decision-making.You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries.You help grow your team members to achieve excellent results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers.Key job responsibilities- Developing and maintaining key features of our systems and services- Working with team members on design approaches and prototyping new technology- Working on product improvements, with focus on customer experience and scalability- Dive deep into complex technical problems- Raising the bar for operational excellence and development practicesBASIC 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 ...

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the Position: At Twitch, we’re always looking for high-potential talent. If you’re a current student at a North American college or university interested in computer science, we’d love to see you apply. See below for just a few reasons why our cohort-based internship program is one-of-a kind. Project-Based Learning at Scale: Twitch operates at a massive scale, requiring us to push the boundaries of technology and experiment with techniques used by only the largest websites. As an intern, you’ll have the opportunity to work on some of the most challenging engineering problems in the industry, making every project a valuable learning experience. Comprehensive Support Team: To ensure our interns thrive, we provide a dedicated support system, including a Manager, Mentor, and Early Careers Advisor. This team will work closely with you to guide your project from start to finish and ensure you have the resources needed to succeed. Enriched Intern Community: In addition to hands-on engineering work, you will participate in leadership and interpersonal development curriculum, as well as gain valuable industry insights from Twitch leaders through fireside chats. To complement the technical aspects of the program, we offer a variety of enrichment activities, including cohort trips, weekly advisory sessions, and local community events. We also provide housing assistance to make your summer internship as rewarding and enjoyable as possible.Want to learn more? Check out the Early Careers Page for internship and student-focused content. You Will:- Contribute to product design and implementation discussions- Find and build unique solutions to implement projects from the idea phase to production- Test and iterate code before and after production release- Connect with intern peers, new teammates, and colleagues from across the businessPerks-Housing stipend provided (for in person)BASIC QUALIFICATIONS- Eagerness to investigate challenges and present reasonable solutions reliably and quickly- Excitement to pick up a new language and be productive with it in a week- Desire to work collaboratively in a team environment- BA/BS Graduation Year: December 2025 & 2026. No Masters/PhD- Completed coursework in or have an understanding of Data Structures and Algorithms ...

Are you excited by the prospect of a team environment focused on delivering highly personalized customer experiences, across Amazon’s retail ecosystem, to hundreds of millions of end-users at an International scale? If so, you have come to the right place! The US Prime & Marketing Tech (UPMT) organization helps customers discover and engage with new, popular and relevant products and services across Amazon worldwide. We do this by combining technology, science, innovation and creativity to build new customer-facing features and experiences alongside advanced tools for marketers. We believe in rapid development and frequent experimentation, allowing us to continuously improve the customer experience. The team provides a great opportunity to make an outsized impact in a burgeoning space and on fresh or even yet to be built services. There are few opportunities anywhere to start on a new team and make an immediate impact at this scale.Great candidates for this position possess a depth of understanding for front-end design alongside computing fundamentals. In addition, we are looking for individuals who share our passion and desire to make a profound impact for our customers. You will also have the opportunity to collaborate with diverse business and technical partners to shape our technology.You are an experienced engineering leader who can set the vision for more junior peers, communicating well with stakeholders who may span across a number of organizations. You have a track recording for engineering excellence and delivering results through a variety of front-end software frameworks. You have a strong sense of ownership, even when in high-pressure situations.Your responsibilities will include:· Driving strategic decision-making on critical UI feature development, from design through implementation and to testing and deployment· Coaching and mentoring junior peers who share a common passion for front-end work, but may have little to no experience in its development· Maintaining and raising the technical bar across all software development, but in particular around front-end work as you work to help foster a front-end engineering community within UPMT· Working closely with software and science managers, product owners, and business stakeholders across different teams on a daily basis to define system architecture, elaborate user stories and discuss business and technical trade-offsWe need a leader who is eager to learn with us as we defining the future of Amazon’s Prime and Merchandising experiences. If you think you could be a good fit – please apply for a chance to make a real impact as the Sr. Front End Engineer in the UPMT organization!BASIC QUALIFICATIONS- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue) ...