Lambda jobs

Software Development Engineer, Network Lifecycle Management Dublin, IRL We are looking for a Software Development Engineer to design, build, and operate core platform components of the UNS service. You will work on distributed systems challenges including workflow orchestration, multi-region resilience, quota management, and real-time monitoring - at a scale that directly impacts AWS network capacity delivery. Key job responsibilities - Design and implement features for the UNS workflow engine, including the Decider, Activity Worker, and State Service components - Build and operate multi-region serverless infrastructure using AWS Lambda, DynamoDB, SWF, SQS, and EventBridge - Develop libraries used by 30+ customer teams to automate network device operations - Improve platform reliability through fault injection testing, alarm tuning, and automated recovery mechanisms - Participate in on-call rotation, triaging operational issues across commercial and ADC partitions About the team The Unified Network Scaling (UNS) team builds and operates the workflow orchestration platform that powers network scaling across AWS's global infrastructure. UNS processes thousands of workflow executions daily, automating the deployment of network racks, bricks, and spans across 40+ regions. Our platform is used by 30+ networking teams to define, execute, and monitor complex multi-step device provisioning and deployment workflows that directly impact AWS's ability to add network capacity. Basic Qualifications: - Experience (non-internship) in professional software development - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience programming with at least one software programming language Preferred Qualifications: - Bachelor's degree in computer science or equivalent -

Sr. Specialist BD, AI/ML, WWSO Shanghai, CHN AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 2000 companies in financial services, pharmaceuticals, and technology. AWS customers are looking for ways to transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with end-to-end machine learning platforms such as Amazon SageMaker. Are you passionate about Machine Learning, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)? AWS is seeking a Specialist BD for AI/ML. The Specialist BD will be responsible for defining, building and deploying effective and targeted programs to accelerate broad

Principal Applied Scientist, Automated Reasoning Group Seattle, Washington, USA Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. Basic Qualifications: - PhD in Computer Science, Mathematics, or a related technical field. - Experience in professional software development. - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language. Preferred Qualifications: - Deep understanding of the science underlying security, privacy, and sovereignty. - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. - 6+ years experience leading scientists, science teams, or science products in either academic or industrial setting. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a

Sr. Delivery Consultant - Connect, Professional Services Seoul, KOR The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Connect Specialist to join our team. In this role, you'll work closely with customers to design, implement, and manage Amazon Connect solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their contact center transformation journey, providing specialized expertise in Amazon Connect and related AWS services throughout the project lifecycle. As a Senior Connect Specialist, you will possess deep understanding of Amazon Connect, contact center operations, and AWS products and services. You will be proficient in architecting complex, scalable, and secure contact center solutions tailored to meet the specific needs of each customer . Key Responsibilities Key job responsibilities Technical Leadership & Solution Design: * Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn how to build and move to production grade AWS environments that support Amazon Connect * Design and implement complex, scalable, and secure Amazon Connect solutions tailored to customer needs * Architect cloud-native contact center solutions leveraging Amazon Connect, Amazon Lex, and peripheral AWS services including Contact Lens, Transcribe, Comprehend, Translate, SageMaker, Lambda, and DynamoDB * Lead technical and design discussions with IT executives to help enterprises speed their adoption of new contact center technologies and practices Customer Engagement & Professional Services Delivery: * Define and deliver on-site Professional Services engagements with partners and customers, including participating in pre-sales

Professional Services II - AMZ12918.17 Chicago, Illinois, USA Employer: Amazon Web Services, Inc. Position: Professional Services II AMZ12918.17 Location: Chicago, IL Multiple Positions Available: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 2. Providing technical guidance and troubleshooting support throughout project delivery 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 4. Acting as a trusted advisor to customers on industry trends and emerging technologies 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts (40 hours / week, 8:00am-5:00pm, Salary Range $131300 - $177600) Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, or a related field and 3 years of experience in the job offered or a related occupation. Experience must include: • 3 years of experience in cloud architecture and implementation. • 3 years of design, implementation, consulting experience with distributed applications • 3 years of experience with software development tools and methodologies. • 3 years of experience with AWS, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) • 3 years of experience with automation and scripting (e.g., Terraform, Python) The pay range for this position in Chicago, IL is $131300 - $177600 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus

Principal Applied Scientist, Automated Reasoning Seattle, Washington, USA We are seeking a Principal Applied Scientist to lead research and development in automated reasoning, formal verification, and program analysis. You will drive innovation in making formal methods practical and accessible for real-world systems at cloud scale. Key job responsibilities - Lead research initiatives in automated reasoning, formal verification, SMT solving, model checking, or program analysis - Design and implement novel algorithms and techniques that advance the state of the art - Mentor and guide applied scientists, research scientists, and engineers - Collaborate with product teams to transition research into production systems - Define technical vision and strategy for automated reasoning initiatives - Represent AWS in the academic and research community - Drive cross-organizational impact through technical leadership About the team The Automated Reasoning Group at AWS develops and applies cutting-edge formal methods and automated reasoning techniques to ensure the security, reliability, and correctness of AWS services and customer applications. Our work innovates tools and services to perform verification at scale and apply them to build safe and secure systems at AWS. We are also pioneering the use of formal verification and automated reasoning to develop agentic systems, ensuring AI agents operate within defined safety boundaries. Basic Qualifications: - MS or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field. - Industrial/academic experience in formal verification, and theorem proving. - Experience with program analysis, program verification or synthesis. - Experience with programming languages such as Rust, C, C++, Java,

Sr Software Engineer, Graviton Software, Annapurna Labs Austin, Texas, USA This opportunity is open for Austin, TX. The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 2 years, Graviton has powered the majority of new EC2 capacity and is used by over 90% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis

Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA 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. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build and test our next generation AI chips. You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team 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. Utility Computing (UC)

Technical Advisor & Chief of Staff to the VP of Applied Science, Alexa AI , Alexa AI Bellevue, Washington, USA This role is for a Technical Advisor & Chief of Staff to the VP of Applied Science, Alexa AI. Join us as a Technical Strategy Partner where you'll shape the future of Alexa AI by collaborating with leadership to define multi-year research and engineering strategies. You'll serve as a trusted advisor on complex technical decisions, bridge cross-functional teams, and drive organizational excellence across applied science and AI/ML initiatives that impact millions of customers. Key job responsibilities - Partner with leadership to define and evolve the multi-year applied science and AI/ML research strategy, ensuring alignment with broader organizational transformation goals and emerging technical trends - Synthesize technical inputs from across science and engineering teams into coherent, actionable recommendations for senior leadership on complex architectural decisions and trade-offs - Act as a connective bridge between Alexa AI and adjacent science and engineering organizations, driving resolution of cross-cutting technical problems that require visibility and coordination across teams - Own the organizational rhythm and execution cadence-including planning cycles, business reviews, and goal-setting processes-while ensuring decisions are clearly documented and communicated throughout the organization - Lead strategic communications and planning initiatives, including developing organization-wide narratives, strategy documents, and leadership updates that articulate our technical vision and priorities A day in the life In this role, you'll work at the intersection of strategy and execution within our Alexa AI organization. Your day might include synthesizing technical

Migration & Modernization Solutions Architect - Data & Analytics, Migration & Modenization Mexico City, Mexico City, MEX Are you ready to solve some of the world's most complex data challenges at scale? We're looking for a highly technical cloud computing architect to collaborate with our customers and partners on innovative Big Data and Analytics solutions that transform how organizations leverage their data. At AWS, you'll work with cutting-edge technologies including real-time and batch-based data processing, business intelligence, and machine learning to help organizations build faster, more cost-effective solutions on the cloud. Key job responsibilities - Design and architect customer analytics solutions by collaborating with AWS field teams and partners to help organizations effectively learn and implement AWS analytics services such as EMR, Redshift, Kinesis, Lambda, and RDS. - Develop engagement strategies by working with solution architects, account managers, and professional services to create tailored analytics approaches for AWS territories and key accounts. - Contribute to thought leadership by authoring external publications, white papers, and reference architectures, and by providing internal training and coaching to solution architects, consultants, and trainers. - Support customer success as a key member of the business development and account management team, helping ensure organizations successfully build and migrate applications and services on the AWS platform. - Capture and share best practices across the global AWS solution architect community to continuously improve how we support analytics implementations. A day in the life As an AWS Analytics Solutions Architect, you'll spend your time bridging the gap between our

Systems Engineer, Managed Operations, Managed Operations Berlin, Berlin, DEU AWS has successfully launched the European Sovereign Cloud (ESC), marking a significant development in Utility Computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building, operating and evolving operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in operating and scaling a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product

Cloud Support Engineer (German & English speaking), Support Engineering (German & English speaking) Berlin, Berlin, DEU AWS is set to introduce the inaugural European Sovereign Cloud (ESC), to spearhead this initiative, we are actively seeking support engineers in this space. Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team for ESC you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications in ESC. Proficiency in oral and written communication skills in German & English Language is a requirement. As a Cloud Support Engineer, you will act as the 'Cloud Ambassador' across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Would you like to use the latest cloud computing technologies? Do you have an interest in helping customers understand application architectures and integration approaches? Are you familiar with best practices for applications, servers and networks? Do you want to be part of a customer facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization? If you fit the description, you might be the person we are looking for! We are a team that is passionate about cloud computing, and

Software Development Engineer, AWS HealthOmics Mountain View, California, USA As part of the AWS Applied AI 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. Genomics researchers, drug discovery teams, and scientists shouldn't need to manage compute resources and workflow engines - they should be focused on scientific breakthroughs. AWS HealthOmics is a HIPAA-eligible service that fully manages bioinformatics workflow infrastructure at scale, and our Usability Team's mission is to make the experience feel effortless. As an engineer on this team, you'll build the APIs and developer tools that put genomic analysis directly into customers' workflows: the Kiro plugin, SDK, and platform APIs that support thousands of bioinformatics pipelines daily. You'll tackle problems like: How do we design APIs that developers enjoy using? How do we build scalable solutions that make complex pipelines feel intuitive to the end user? You'll work across the stack - from service architecture and API design to the integration points that shape the customer experience. You'll partner with UX designers and product managers, use data to drive

Software Development Engineer II, FinTech Settlements, Adjustments and Billing Hyderabad, Telangana, IND Build the future of financial systems at Amazon scale. Join the SAAB (Settlements Authority and Billing) team in FinTech Receivables, where we're transforming how Amazon processes billions of dollars in settlements, transaction adjustments, and billing operations across global businesses. We're looking for an SDE II who thrives on solving complex distributed systems challenges and wants to make a direct impact on Amazon's financial infrastructure. As an SDE II on our team, you'll design and build highly scalable systems that power Settlements Authority (SA), Transaction Adjustment Experience (TRAX), and OFA Billing-critical platforms that enable seamless financial operations between accounts receivable and payable subledgers. You'll work with latest AWS technologies, collaborate with finance operations teams across Amazon, and help us modernize legacy systems while maintaining the reliability our business depends on. You'll write clean, maintainable code, participate in architectural decisions, mentor junior engineers, and take ownership of features from conception through production deployment. This is a hands-on role where you'll contribute to the full software development lifecycle while working with technologies including Java, AWS Lambda, DynamoDB, Kinesis, and modern web frameworks. Key job responsibilities As an SDE II on the FinTech SAAB team, you will: - Design, develop, and maintain highly scalable financial systems that process critical settlement and billing transactions - Build features for Settlements Authority that enable automated deduct-from-payment (DFP) workflows between AR and AP subledgers - Contribute to the Transaction Adjustment Experience (TRAX) platform, helping finance operations

Data Engineer, Data Center Capacity Delivery Seattle, Washington, USA AWS Data Center Capacity Delivery (DCCD) is looking for a Data Engineer to support data center construction globally. We work on the most challenging problems, with thousands of variables impacting the data center delivery - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, construction 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. You'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We're looking for a Data Engineer to help us grow our Data Lake and Data Warehouse Systems, built on a serverless architecture with 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch, and more. We own a world-class data lake that drives multi-billion dollar decisions on a regular cadence, and we're looking to improve on filling the lake quickly with as little human intervention as possible while democratizing the data within it. In this role, you'll also help shape the next generation of our analytics platform by building agentic AI solutions and MCP (Model Context Protocol) servers that enable intelligent, autonomous data workflows. This includes designing AI-driven agents that can discover, query, and reason over our data lake - putting self-service analytics

FI and Silicon Debug Engineer Haifa, Haifa, ISR 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Annapurna Labs is a semiconductor company established by semiconductor industry veterans and is now part of Amazon Web Services (AWS). We are developing leading edge products, manufactured on leading edge technologies. We offer a dynamic, open, teamwork environment operating at high pace mode. The main scope of this role is to lead AWS silicon debug efforts and provide insights related to complex design issues, open test holes, low yield events and reliability failures, related to our cutting-edge silicon-based products embedded into AWS cloud. Key job responsibilities Your responsibilities will include, but not be limited to: • Utilizing testers and system boards in combination with optical debug and fault isolation (FI) techniques such as: laser stimulation operations (OBIRCH, LADA, etc.), laser probing and emission microscopy. • Root cause failures and performance limitations and drive decision making related to test coverage and yield issues. • Analyzing and diving deep into fundamental aspects of

Software Development Engineer II, Amazon Manufacturing Services (AMS) Bellevue, Washington, USA Do you want to build software that changes how physical things get made? Amazon Manufacturing Services (AMS) runs 135+ machines producing custom parts for over 100 Amazon organizations. We are building the next generation of services and applications that digitize shop floor operations, integrate with enterprise manufacturing platforms, and lay the groundwork for intelligent production scheduling. You will work across the full stack - React applications for operators and planners, event-driven backend services processing manufacturing data in real time, and integration bridges connecting AMS to enterprise ERP, PLM, and MES systems. The team is small, the technical surface is broad, and the users are in the building. Key job responsibilities * Design, build, and operate services on AWS Lambda, DynamoDB, S3, SNS, SQS, and Step Functions using event-sourced, domain-driven architecture patterns * Build React web applications using the Cloudscape Design System for manufacturing operators, planners, and engineers * Integrate AMS services with enterprise platforms through event-based and API-based integration patterns * Design and implement API models, CDK infrastructure, and CI/CD pipelines for new services * Collaborate with senior engineers on system design, code reviews, and architecture decisions A day in the life Your day starts with a standup alongside SDEs, data engineers, and manufacturing stakeholders. You pick up where you left off on a React component that displays real-time resource status for shop floor planners. After lunch, you shift to a backend service, designing a DynamoDB schema for part

Manager, Applied Science, Alexa AI Bengaluru, Karnataka, IND The AURORA: Alexa Understanding, Runtime, ORchestration, and Applied sciences org is looking for an Applied Science Manager with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied Scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders. We are looking for an Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants. Core Leadership & Team Management * Lead and manage applied scientists working on conversational AI capabilities across the full Alexa+ agent execution path * Build and develop high-performing science teams focused on understanding, reasoning, evaluation, and runtime systems * Foster cross-functional collaboration between science and engineering teams to deliver both customer-facing (CX) and developer-facing (DX) experiences Platform & Innovation * Develop modular, reusable platforms that enable 1P and 3P engineers and scientists to accelerate innovation * Transform how builders create conversational AI solutions at scale * Drive evaluation tooling and assessment frameworks to measure conversational experience quality Cross-Organizational Collaboration * Partner with teams across the organization to align goals and accelerate delivery * Navigate organizational changes and simplify interactions between components and teams * Establish clear communication channels and workflows across reporting lines Strategic Impact * Contribute to the team's mission of

Senior Cloud Operations Engineer 2 Locations posted: Posted 8 Days Ago

Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Madrid, Community of Madrid, ESP This position can be based in either Madrid or Berlin. Are you passionate about using data to create shopping experiences that feel genuinely personal? We're looking for a Senior Business Intelligence Engineer to lead the way we build and scale personalised recommendations for millions of customers across ten European marketplaces. In this role, you'll sit at an exciting intersection of business intelligence, data engineering, and data science. You'll build on top of Amazon's world-class personalisation infrastructure - consuming real-time customer intent signals, blending them with large-scale EU retail data and engagement metrics, and applying custom processors and matching models to surface the right product at the right moment. Think complement strategies that inspire follow-on purchases, discovery strategies that introduce customers to new categories, and inspiration experiences that tap into individual browsing and purchase patterns - all layered on top of centralised recommendation systems and enriched with EU-specific intelligence that you build and own. This is more than a traditional data role. On the data science side, you'll develop custom models using Python and Spark to understand customer-product affinity at scale, applying techniques like embeddings modelling and customer persona matching to power EU-specific personalisation strategies built on top of Amazon's global recommendation infrastructure. On the engineering side, you'll build and deploy the internal tooling that puts these capabilities directly in the hands of marketing teams - writing production-grade Python services, building serverless infrastructure with AWS Lambda

Senior Applied Scientist, AWS Quick Santa Clara, California, USA Come join the AWS AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. Key job responsibilities * Design and implement scalable, production-grade neuro-symbolic systems that integrate formal reasoning with GenAI to deliver reliable, verifiable outcomes for AWS customers. * Collaborate cross-functionally with product, engineering, and science teams as well as external customers to deeply understand pain points, gather requirements, and translate them into neuro-symbolic features that solve real-world problems. * Enhance and extend the capabilities of formal reasoning systems to meet the demands of GenAI and

Software Dev Engineer, AWS Infrastructure Security, AWS InfraSec Security Products and Services Seattle, Washington, USA We are building the next generation of physical security automation for AWS data centers worldwide. Our team develops software that accelerates how security devices - think cameras, access control systems, and intrusion detection - are provisioned, monitored, and managed across hundreds of global sites. As an SDE on this team, you will primarily work on Skyward, our security device lifecycle management platform, with a focus on Zero-Touch Provisioning (ZTP) - a program that automates the end-to-end provisioning of physical security devices from construction drawings through to operational readiness. You will also contribute to Red Zone Passport, the application stack that supports red zone security workflows - including mobile validation, access control, and device compliance tooling used by security teams on the ground. This work directly impacts the speed at which new AWS data centers come online. Key job responsibilities Design and build backend services, APIs, and orchestration workflows that automate security device provisioning at global scale Develop integrations with internal systems for device discovery, network configuration, and operational monitoring Build event-driven architectures using AWS services (Lambda, DynamoDB, SNS/SQS, Step Functions) to process device lifecycle events in real time Contribute to AI/ML-powered features that extract device metadata from engineering drawings and automate device naming and configuration Partner with security engineers, site project managers, and systems integrators to translate operational workflows into scalable software solutions Help evolve and maintain our red zone access and compliance platform, building

Machine Learning Engineer, AWS Applied AI Solution Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, our vision is 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 accelerate our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-the art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team. What You'll Do • Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems • Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance • Establish scalable, efficient, automated processes for

Software Automation Engineer Haifa, Haifa, ISR Annapurna Labs, as part of Amazon, is looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture. Take part in the development of products within a disruptive system architecture. You'll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the world's largest cloud provider. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Key job responsibilities As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale. Basic Qualifications: - Bachelor's Degree in Computer Science, Electrical Engineering, Information Systems, or in related field. - Experience with HW/software automation design and development. - 4+ years of experience in Python and OOP. - 4+ years of experience working with Linux/Windows servers, Git/version control, debugging complex systems. Preferred Qualifications: - Familiarity with system design concepts and good system understanding. - Experience in Linux kernel and drivers, embedded software testing (SW/HW), storage/networking. - Experience with pytest/automation frameworks, CI/CD tools and processes, such as Jenkins, TeamCity, etc.; AWS tools such as Lambda, S3, EC2, EKS. - Experience with Bash and Groovy - Understanding of API concepts. - Familiarity with ELK/Quicksight. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need