Lambda jobs

Azure Data Engineer Bengaluru Campus 31, Bengaluru, India

Sr. Technical Account Manager, National Security - ES US-ADC Jessup, Maryland, USA Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we're looking for a Sr. Technical Account Manager (TAM) to support our customers' creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Machine Learning, Generative AI, Big Data, Security, Networking, Serverless and more. This is not a sales role, but rather an opportunity to be the strategic technical advisor and 'voice of the customer' to National Security customers. As a TAM, you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, OpenSearch, Bedrock, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's environment, and drive discussions with senior leadership regarding incidents, trade-offs, support and risk management. You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers' AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed. The TAM is the centerpiece of value

Senior Staff Software Engineer - Apache Spark (Java or Scala) Hungary > Budapest posted: Posted 30+ Days Ago

Senior Cloud Solution Architect US

Data Engineer, MIDAS, Digital Acceleration Chennai, Tamil Nadu, IND Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action? The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster. An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills. Key job responsibilities 1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc. 2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance. 3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data. 4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations About the team The MIDAS team operates

Azure Cloud Architect Madrid, Spain posted: Posted 30+ Days Ago

Data Engineer, Cross Border Science and Analytics Bengaluru, Karnataka, IND We are looking for a Data Engineer to help build and scale the data foundation powering next-generation AI and analytics. The role focuses on designing robust, scalable data pipelines and platforms that enable high-quality datasets for advanced AI applications. You will work on modern data architectures, ensuring performance, reliability, and efficient data processing at scale. The position offers opportunities to experiment with emerging AI-driven data techniques and intelligent data systems. You will collaborate with scientists, analysts, and platform teams to translate complex data needs into well-designed engineering solutions. A strong focus will be placed on data quality, automation, and platform innovation. The ideal candidate enjoys solving complex design challenges and building systems that scale seamlessly. Join us to shape the data backbone that accelerates AI innovation Basic Qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying

Developer 2 - Endpoint - Cloud Bengaluru, IND posted: Posted 15 Days Ago

Systems Development Engineer, Selling Partner Solutions Storefront Bengaluru, Karnataka, IND Selling on Amazon is one of the fastest growing businesses at Amazon.com, with more than 50% of all items currently sold originating from third-party sellers. Our team's vision is to offer next generation systems that enable Amazon and third-party solutions providers to innovate rapidly for millions of Selling Partners worldwide, helping them automate and scale their Amazon businesses. We are looking for a passionate engineer who thrives on building systems that make teams more effective. You will own the full engineering lifecycle - from design through deployment and operations - building production-grade systems, data pipelines, and automation frameworks that operate at scale across distributed AWS services. You will write code held to Amazon Code Bar standards, working across Java, Python, and Scala to deliver solutions where no prior playbook exists. Key job responsibilities - Design and build automation systems that consolidate and orchestrate actions across multiple services, including listing pipelines, search infrastructure, and data processing workflows - Engineer CDK-based infrastructure for multi-region deployments, supporting RegionFlex initiatives - Develop automated integration testing and set up fully automated deployment pipelines (CI/CD) to eliminate risk of service degradation - Build and maintain data pipelines using Lambda, DynamoDB, and other AWS-native services, enabling data-driven decisions through dashboards and analytics - Create proactive monitoring with fail-fast alerting across mission-critical jobs to ensure data quality and pipeline reliability - Reduce operational toil through force-multiplier tooling and infrastructure automation - Proactively identify systemic issues and engineer solutions

Expert Cloud AZURE H/F Vélizy-Villacoublay, Yvelines, France Rejoignez notre équipe en tant qu'Expert Cloud Azure et participez à des projets innovants. Vous serez responsable de la création d'infrastructures sur Azure, de l'automatisation des processus et de l'accompagnement des équipes DevOps. Si vous êtes passionné par les défis techniques, ce poste est fait pour vous !

Sr. AI / ML Engineer Cary, North Carolina PENNYMAC Pennymac is (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. A Typical Day We're looking for a highly experienced and motivated Senior AI Engineer to develop and deploy cutting-edge AI/ML solutions within our AI Accelerator Team. You'll work with and mentor a team of engineers responsible for leveraging the latest AI ( Artificial Intelligence ) technologies and ML ( Machine Learning ) models to deploy best-in-class tools for Pennymac's employees and customers. This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Strong communication skills are essential to effectively collaborate within the team and provide technical mentorship to peers. Responsibilities Design and implement AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment. Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable cloud infrastructure for AI/ML workloads. Develop and optimize high-performance machine learning models

Data Engineer II, Sales Planning and Compensation (SPC) Dallas, Texas, USA Application deadline: Jun 16, 2026 Amazon Web Services is seeking a talented and innovative Data Engineer II to design, build, and evolve critical data capabilities for Sales Planning and Compensation (SPC). SPC delivers secure, highly available, scalable, and high-performance data solutions that empower our field teams to deliver exceptional service to AWS customers. Join a dynamic, high-impact team at an exciting stage of product evolution. You'll help shape the future of how AWS manages and derives value from data at massive scale, while collaborating with product managers, program leaders, data scientists, and cross-AWS technical partners. As a Data Engineer II, you'll own end-to-end data solutions - from ingestion and transformation to analytics and insight generation - while incorporating modern generative AI practices to enhance efficiency, automation, and decision-making. Key job responsibilities - Design and implement robust, scalable data pipelines and ETL/ELT processes using AWS-native services (e.g., Glue, Lambda, EMR, Kinesis, S3, Redshift/Spectrum). - Build and maintain data models, schemas, and storage solutions across relational (SQL) and NoSQL databases, data lakes, and warehouses. - Develop, automate, and optimize metrics, reports, dashboards, and analytics workflows to drive business insights and data-informed decisions. - Own infrastructure for data processing and analytics (e.g., Redshift clusters, Spectrum, EMR), including performance tuning, cost optimization, and architectural evolution. - Leverage **Amazon Bedrock**, **Nova models**, **Amazon Q**, **Kiro**, and other internal AWS GenAI services to prototype intelligent features, automate data workflows, enhance data quality, and accelerate insight

BIE II, ShipTech Analytics, ShipTech Analytics Hyderabad, Telangana, IND Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's global transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for top notch Business Intelligence Engineers to be part of ShipTech Analytics team to build data and analytics solutions powering Amazon's global transportation network. We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams. As a BIE II, you'll work on building analytical solutions that empower operations teams worldwide. You'll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build metrics for the transportation network, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced

System Engineer, Messaging and Streaming Team Thames Valley, Berkshire, GBR Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. 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. If you join us you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. As a member of the team providing EC2 services you will be delivering foundational capability that benefits all customers! This is an opportunity

Cloud Ops. 2nd Line Expert İstanbul, Istanbul, Türkiye

Sr. .Net Full Stack Engineer United States- Remote, United States, Remote Key Responsibilities - 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 and influence AWS Professional Services offerings and AWS product strategy for developers by working with AWS platform engineering, Business Development and other cross-functional teams Key Requirements: - BS level technical degree or 10+ years equivalent professional or military experience - 8 + years of 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 - 5+ years of experience as a technical specialist in Customer-facing roles - Cloud experience - Experience with Agile development methodologies - Experience with Continuous Integration and Continuous Delivery (CI/CD) - Master's degree in Computer Science or related technical field - Computer Science or Engineering background - Demonstrated success as a software developer, application architect, product manager, CTO, or consultant working with various platforms - Architecting, designing

Data Engineer II, NAST CX Tech Bellevue, Washington, USA The NAST Customer Experience (CX) Tech team is looking for a Data Engineer II to build and scale the data infrastructure that powers operational intelligence for Amazon's North American Surface Transportation (NAST) Linehaul network. You will design data pipelines, build analytical platforms, and develop AI-powered tools that operations leaders use daily to monitor performance, identify root causes, and drive decisions across a network that moves millions of packages every day. This is a high-impact role where your work directly shapes how leadership understands and acts on metrics like Delivery Estimate Accuracy (DEA), Process Failure Rate (Xenith), and trailer inspection quality (VTI). You will work across the full data stack from ingestion and transformation to AI tools and front-end delivery using AWS-native services and modern data tools and technologies. Key job responsibilities You will design and maintain scalable data pipelines that ingest and transform operational metrics from sources like Andes, Datanet, and Redshift using SparkSQL, Cradle, and AWS services (Glue, Lambda, S3, Step Functions). You will build and extend AI-powered analytical applications using AWS Bedrock, DynamoDB, and Python that generate automated performance summaries and insights. You will own data modeling for new metric onboarding, drive migration of legacy SQL workloads to modern platforms, manage infrastructure-as-code with AWS CDK across gamma and production environments, and implement monitoring, alerting, and validation frameworks to ensure pipeline reliability. You will collaborate with operations leaders and data scientists to translate business needs into data solutions that scale.

Cloud Operations Senior Expert İstanbul, Istanbul, Türkiye

Data Engineer, WW Promotions Data and Insights Vancouver, British Columbia, CAN Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon's price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase

FinOps Cloud (Azure & AWS) Madrid, Spain posted: Posted 7 Days Ago

Sr. Formal Verification Engineer, Annapurna Labs Cupertino, California, USA Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Key job responsibilities - Develop formal verification plans, implement and verify state-of-the-art IP architectures. - Work with block designers to gain deep micro-architectural understanding. - Develop checking algorithms, assertions, and FV models. - Perform state of the art formal methods and abstraction techniques. - Participate in test plan and coverage reviews. - Promote assertions to simulation and contribute to overall simulation strategy. - Communicate and work with team members across multiple disciplines. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative

Sr. Staff Python Developer (Python,AWS,AI) Hyderabad, , India Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description: Lead the architecture and development of cloud-native applications, services, and platforms using Python and AWS. Build and manage cloud-native microservices leveraging AWS services such as Lambda, ECS, S3,Glue,RDS/DynamoDB, EMR, glue and EKS . Provide technical leadership across engineering teams, driving design reviews, architecture decisions, coding standards, and operational excellence. Partner with product, security, architecture, data science, and platform teams to translate business problems into scalable technical solutions. Develop reusable frameworks, libraries, APIs, and automation patterns that accelerate engineering delivery. Drive adoption of engineering best practices including CI/CD, infrastructure as code, test automation, observability, secure SDLC. Build and optimize large-scale distributed data processing

Software Development Engineer, AWS Catalog East Palo Alto, California, USA Seeking a talented Software Development Engineer II to join our innovative team and drive technical excellence. You'll design, develop, and scale robust software solutions, leveraging your expertise in system architecture and programming to solve complex challenges. Ideal candidates will bring strong technical skills, creativity, and a passion for building high-performance software systems. Key points to highlight: - Mission-driven software development - Opportunity to design and architect scalable systems - Collaborative team environment - Potential for significant technical impact Key job responsibilities Technical Skills: AWS Services expertise: S3, DynamoDB, Lambda, CloudFormation, EventBridge, Glue, Lake Formation, Redshift, IAM, KMS, RAM Backend development: Java, serverless architecture, API design Security: IAM policies, encryption (client-side and server-side), attribute-based access control (ABAC) Data systems: Data catalogs, metadata management, asset ingestion workflows Distributed systems: Event-driven architecture, asynchronous workflows, workflow orchestration Soft Skills: Cross-functional collaboration System design and documentation Problem-solving in complex distributed environments About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust

Software Development Engineer, ML Infrastructure Team Seattle, Washington, USA Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch decisions for new EC2 instance types and has visibility at senior leadership. Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence. Key job responsibilities Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types. Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and software stack versions. Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers. Build automation using LLMs to analyze test failures and surface actionable insights to developers. Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions. Manage the complexity of