Lambda jobs

Applied Scientist, Alexa Edge AI Bengaluru, Karnataka, IND The Alexa Edge AI team is seeking a talented and motivated Applied Scientist to join our newly established team in Bangalore. In this role, you will design, develop, and deploy state-of-the-art machine learning models spanning computer vision (CV), audio (including speech) processing, and multimodal semantic understanding for both edge and cloud deployment. You will work at the intersection of multiple modalities to build systems that can perceive, interpret, and reason about the world - pushing the boundaries of what's possible in unified multimodal intelligence. This is a unique opportunity to be a founding member of a brand-new site, shaping the team culture, technical direction, and research agenda from the ground up. Key job responsibilities Model Development: Design and build deep learning models for computer vision, audio understanding, and multimodal semantic fusion - including architectures that enable joint reasoning across visual, auditory, and textual modalities. End-to-End Ownership: Own the full ML lifecycle - from problem formulation, data strategy, and annotation design through experimentation, evaluation frameworks, model optimization, and deployment at scale. Research & Innovation: Stay at the frontier of CV, audio ML, and multimodal learning; identify and apply SOTA techniques and contribute to the scientific community through papers at top-tier venues (CVPR, NeurIPS, ICASSP, ICCV, ACL). Mentorship & Culture Building: As a founding member of the Bangalore site, help hire, onboard, and establish the technical practices that define the team's culture. A day in the life An Applied Scientist with the Alexa Edge

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

Senior Cloud Engineer Greece-Thessaloniki Chortiatis posted: Posted 18 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

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

Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering Austin, Texas, USA Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon's innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. What makes this role unique is your direct impact on AI-powered innovation - you'll be building intelligent systems that drive the debug and development of next-generation cloud technologies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically

Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI) Bellevue, Washington, USA The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net-automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations. Your work directly protects customer trust at Amazon's scale. Every innovation you create-from novel safety mechanisms to sophisticated evaluation techniques-shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI. This

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

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.

Applied Scientist, AWS Automated Reasoning 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 The successful candidate will: - 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. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning?

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

Applied Scientist III, AWS Elemental Santa Clara, California, USA If you're curious, empathetic, and passionate about video technologies-and excited about applying innovative machine learning techniques-we want you as a team member! This is a position where you'll get to be innovative and creative while working on challenging and impactful problems in the video space. You will prototype and integrate advanced models at scale, powering experiences used by customers all over the world, from small start-ups to major broadcasting companies. As a Senior Applied Scientist on the team, you'll be both a leader and a key technical contributor. A successful candidate has strong expertise in applied science (machine learning, artificial intelligence, data analysis) as well as effective communication and leadership skills, with experience mentoring and collaborating across disciplines. You must have a proven track record of delivering on your team's most critical and challenging projects and the ability to listen empathetically to differing opinions, building consensus to guide the team toward a deeper understanding of a problem. You'll need to be able to take ambiguous and complex problems and develop innovative models and algorithms that balance customer needs and timelines with long-term maintainability and scalability. If you're excited about media services and you want to grow your machine learning and applied science skills in a supportive environment, join our team and help customers get inspiring and compelling video content to their viewers! Key job responsibilities • Building prototypes, optimizing and deploying advanced machine learning models into production to solve complex challenges

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

Machine Learning Engineer II (Remote) Kohl's Corporate Offices (0900) Kohl's Corporate Offices (0900)

Software Development Engineer, Aurora DSQL Seattle, Washington, USA The Aurora DSQL team at AWS is building revolutionary transactional database technology, delivering innovative customer experiences in the areas of automated operations, global scale, query processing, and storage. If contributing to the design and development of a new, first-of-its-kind, database excites you, then a role on this new initiative may be your dream job. Join us during this formative period of the product and be a leader in shaping the future of databases at Amazon and beyond! The Query Processing (QP) team is responsible for planning and executing SQL statements in the most efficient way possible. The QP team owns everything in the life cycle of a SQL statement like Parsing, Analysis (syntax and semantic), Rewriting, Planning (Optimizer) and Execution, and working with custom built Storage while providing customers access to observability metrics to help them understand their database performance better. An ideal candidate has experience building databases and/or large stateful cloud services, is able to work with senior technical leaders, and is able to invent simple and elegant solutions. They are able to design, implement and deliver software systems and mentor junior team members. They thrive on creative and collaborative problem solving, and also enjoy the challenge of operating services at AWS scale. 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

Systems Development Engineer, Selling Partner API Risk Technologies 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. The SP-API Risk Technologies team is looking for a Systems Development Engineer who will design, build, and operate infrastructure and automation systems that protect Selling Partner data and enforce compliance across Amazon's third-party developer ecosystem. You will own the full engineering lifecycle - from design through deployment and operations - building production-grade enforcement workflows, data pipelines, and automation frameworks that operate at scale across distributed AWS services. Our team is responsible for preserving Partner trust through developer gating, compliance monitoring, risk analysis, and policy enforcement. As a Systems Development Engineer, you will build the systems that power these capabilities: designing state machine workflow orchestration for enforcement actions, engineering CDK-based infrastructure for multi-region deployments, developing automated non-compliance and risk detection pipelines using Step Functions, Lambda, DynamoDB, and other AWS-native services, and creating proactive monitoring with fail-fast alerting across mission-critical jobs. You will write code held to Amazon Code Bar standards and work across Java, Python, and Scala to deliver solutions where no prior playbook exists. You will be a member of a world-class engineering team comprised of Software Development Engineers, Data Engineers, Business Intelligence Engineers and Systems Development Engineers, working in a fast-paced, collaborative environment. Key responsibilities include: - Designing and building enforcement automation systems that consolidate and orchestrate actions across multiple services - Engineering

Data Engineer, PXT Central Science Seattle, Washington, USA The PXT Central Science team is looking for a Data Engineer. This individual will join a team of economists and scientists to own and accelerate science and analytics in our rapid employee intelligence workstream. This suite of models identifies causal factors driving changes in employee sentiment, actions, and business outcomes. Key job responsibilities PXTCS is looking for a data engineer with expertise in complex data environments. You will be responsible for enhancing our existing data architecture to further standardize metrics and definitions, building and testing new features, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with economists, data scientists, and software engineers to translate data into actionable insights. Specific responsibilities include: • Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency • Model Productionization & API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines • Data Integration & Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements • Cross-team Collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions • Analytics & Infrastructure: Maintain layered data systems used by economists and scientists; build

Cloud Support Engineer (German & English speaking), Support Engineering 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 believe that world class

SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA As an 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 new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in 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) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of

Data and Analytics Architect, AWS FinTech Hyderabad, Telangana, IND We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including

Software Development Engineer, Alexa Screen Experience Vancouver, British Columbia, CAN The Alexa Smart Properties Screen Experience team builds the visual interfaces that complement Alexa voice interactions across hospitality and senior living properties - serving thousands of properties and millions of daily screen interactions worldwide. We own enterprise device screen experiences and notifications. As an SDE 2, you'll own the design and delivery of software features spanning our front-end rendering stack (React, TypeScript) and cloud services (Lambda@Edge, CloudFront, DynamoDB). You'll work on difficult problems like multi-tenant rendering with property-specific branding, cross-device compatibility (Echo Show 8"/11"/15"/21"), offline resilience, and sub-second performance at scale. You'll take feature specifications from concept through the full software lifecycle - design, implementation, testing, deployment, and operations - with increasing independence. Our team values sustainable pace, knowledge sharing, and career growth. We assign work that develops you as a well-rounded engineer while delivering real impact to the properties and guests we serve. Key job responsibilities - Design and deliver software features end-to-end - from working backwards on requirements through implementation, testing, deployment, and operations - delivering frequently and incrementally with high-quality, production-ready code - Collaborate with partner teams (APL, Device Software, Alexa AI, Property Management) to integrate screen experiences with voice capabilities and property management systems - Contribute to operational excellence by participating in on-call rotations, driving root cause analysis, improving alarms and runbooks, and addressing systemic issues that reduce rendering failures - Participate actively in design and code reviews, providing meaningful feedback to peers including more senior

Infrastructure as Code (IaC) Engineer 2223 Chester House Farnborough Aerospace Centre Farnborough UK posted: Posted 21 Days Ago

Senior Staff Software Engineer (Secure Cloud Access) Office - Israel - CyberArk Be'er Sheva posted: Posted 9 Days Ago

Data Engineer - FinTech, Fintech Hyderabad, Telangana, IND We are seeking a highly skilled Data Engineer to join our FinTech ADA team, responsible for building and optimizing scalable data pipelines and platforms that power analytics, automation, and decision-making across Finance and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM, along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and unstructured datasets, leveraging both relational and non-relational data stores (object storage, key-value/document databases, graph, and column-family stores) to deliver reliable, high-performance data solutions. This role requires strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams to translate business needs into technical data solutions. Key job responsibilities Scope - Fintech is seeking a Data Engineer to be part of Accounting and Data Analytics team. Our team builds and maintains data platform for sourcing, merging and transforming financial datasets to extract business insights, improve controllership and support financial month-end close periods. As a contributor to a crucial project, you will focus on building scalable data pipelines, optimizations of existing pipelines and operation excellence. Qualifications- • 5+ yrs experience as Data Engineer or in a similar role • Experience with data modeling, data warehousing, and building ETL pipelines • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. • Extensive experience working with AWS with a strong understanding of Redshift, EMR, Athena, Aurora,