Lambda jobs

Principal/Senior Data Scientist - Cloud Team AI&ML (Cortex) Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

Sr. Data Scientist, Amazon Pay Data Products Bengaluru, Karnataka, IND Amazon Pay strives to be Earth's most customer-centric payments service. Our mission is to serve customers and merchant partners with the most trusted, friction-less and rewarding payment solutions for their needs on and off Amazon. We are seeking an exceptional Data Scientist III to drive innovation in machine learning and artificial intelligence solutions while leading high-impact initiatives across the organization. Key job responsibilities Technical Excellence Lead end-to-end machine learning projects using PyTorch, AWS SageMaker, and other leading ML frameworks Design and implement complex statistical models and deep learning solutions Develop and optimize MLOps pipelines for model training, evaluation, and deployment Experience with modern LLM frameworks and Generative AI applications Expertise in Python, R, and related data science libraries MLOps & Development Build automated ML pipelines using AWS services (CodePipeline, Lambda, Step Functions) Implement CI/CD practices for ML model deployment and monitoring Create containerized solutions using Docker for scalable model deployment Experience with model optimization and hyperparameter tuning using tools like Optuna Integrate ML solutions with monitoring tools like MLflow Business Impact & Leadership Partner with stakeholders to translate business problems into technical solutions Design and develop business intelligence applications for real-time insights Lead technical initiatives and mentor junior data scientists Drive cross-functional collaboration to deliver innovative solutions Communicate complex technical concepts to non-technical audiences About the team The Amazon Pay Data Products team is a central unit that builds and maintains data products supporting Amazon Pay's growth across multiple markets.

System Development Engineer III - AMZ9774067 Seattle, Washington, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON ADVERTISING LLC Offered Position: System Development Engineer III Job Location: Seattle, Washington Job Number: AMZ9774067 Position Responsibilities: Participate in the full lifecycle of day-to-day development activities, including prioritization, task breakdowns, writing technical documents, design and code reviews, code deployment, and operations. Contribute to project priorities, establish milestones, drive schedules to meet a deadline, capture and present KPI metrics to evaluate progress of project. Be a technical lead on the team and work with internal and external teams to successfully deliver cross-functional projects that are of a high-quality (e.g., on-time, on-budget, maintainable, low-defects, etc.). Design and operate scalable Salesforce backend including data models, Apex like triggers, batch/queueable/async pattern using reusable engineering frameworks, and robust testing with source-driven CI/CD pipelines. Build intuitive Lightning User interface with Lightning Web Components (LWC) using HTML, CSS (SLDS), and modern JavaScript, ensuring accessibility and responsive design. Integrate Salesforce with internal and external systems via secure APIs (REST, SOAP, GraphQL) using Named Credentials, resilient error handling, and monitoring. Architect end-to-end solutions - including AWS components such as Lambda, API Gateway, and EventBridge schedulers triggered by Salesforce events - balancing performance, reliability, cost, and long-term maintainability. 40 hours / week, 8:00am-5:00pm, Salary Range $151,200/year to $204,600/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial,

Software Engineering Manager, AWS CloudFormation Seattle, Washington, USA AWS Infrastructure as Code helps customers to easily and efficiently adopt AWS services while ensuring that their applications run safely in the cloud. We develop services, including CloudFormation and Cloud Control API, that empower customers to spin up infrastructure across AWS at unprecedented scale. The CloudFormation Core organization develops and maintains the Control Plane and Asynchronous Workflow Engine that powers provisioning operations at scale. We design and deliver features that support large-scale traffic volume and deliver experiences that help customers deploy infrastructure safely. This role will lead the CloudFormation Stack Sets space, with the goal of driving the next level customer experience for infrastructure provisioning operations and scaling the service to meet an ever growing volume of operations. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and

Applied Scientist, Alexa Smart Properties Seattle, Washington, USA Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party electronic devices. AE team is looking for a highly skilled and inventive Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases. As an Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences. Key job responsibilities . You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. . You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use

Staff Engineer (Python/AWS) 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: Design, develop, and maintain Agentic AI modules using Python and MCP, including agent-to-agent collaboration. Architect and deliver GenAI-powered applications , integrating LLMs, prompt engineering pipelines, and RAG-based patterns into enterprise-grade services. Implement robust authentication and authorisation for MCPs, AI Agents, and APIs using OAuth 2.0, JWT, IAM roles, and mTLS, ensuring compliance with enterprise security standards. Build and deliver scalable, high-performance applications and microservices using Java or Python on AWS, leveraging services including EC2, S3, SQS, SNS, ECS, EMR, Lambda, Glue, Athena, API Gateway, and DynamoDB . Design end-to-end solutions across batch processing and real-time streaming pipelines, and work across relational (Aurora Postgres) and

Sr. Software Development Engineer, ASP Screen Experience Vancouver, British Columbia, CAN Lead the technical strategy and full-stack delivery of enterprise device experiences for Alexa Smart Properties, architecting customizable screen and conversational interfaces on Echo devices that serve thousands of hotels and senior living communities worldwide. You'll define technology strategy in ambiguous spaces, coordinate across 8+ partner teams, and build the platform that enables ASP's enterprise customers to deploy branded, scalable Alexa experiences. Key job responsibilities - Own team-level architecture for enterprise device experiences, providing system-wide design guidance across device-side native apps (Kotlin, C++), cloud services (Lambda, DynamoDB, S3), WebView integrations, and web applications (React, TypeScript) - Lead cross-team technical initiatives spanning Alexa teams to deliver end-to-end enterprise screen and conversational experiences - Drive technical roadmap and strategy, making trade-offs between immediate customer delivery and long-term platform extensibility across hospitality and senior living verticals and new device types - Design and implement critical path code across the full stack while reviewing and guiding team implementations - Influence partner team priorities by clearly articulating ASP's enterprise requirements and driving alignment on API changes, device OS features, release timelines, and performance improvements - Own operational excellence including metrics, alarms, incident response, and systemic improvements that reduce failures and improve enterprise customer reliability - Establish technical standards for cross-OS compatibility, offline capabilities, cloud-to-device communication patterns, accessibility compliance, and visual interaction best practices - Mentor engineers across the stack, raise the bar through design reviews and code reviews, and scale your impact by enabling teammates

Senior Cloud Software Engineer Remote - Spain

Azure Cloud Architect Reston, VA

Sr. Cloud Engineer- Infrastructure Rochester, NY, Rochester, New York, United States, Irvine, CA, Frisco, TX About the Role Our Cloud Engineers design, build, and support secure, high-availability cloud environments that power our customer's transformation initiatives. Working within cross-functional delivery teams, you'll apply best-practice automation (IaC, CI/CD, DevSecOps) to migrate, modernize, and optimize workloads on AWS, Azure, and/or Google Cloud that meet rigorous performance, security, and cost-efficiency targets. Key Responsibilities - Implement landing zones, VPC/VNet networking, IAM, and security baselines. - Provision and configure compute, storage, and database services using IaC I - Develop and maintain pipeline automation for app and infrastructure deployments. - Design and package applications with latest containerization and orchestration. - Configure logging, metrics, tracing, and alerting - apply SRE practices. - Produce cost-and-capacity reports with FinOps tooling. - Produce well-structured design documents, diagrams, and hand-over guides. Qualifications - 6-10 years experience in cloud solutions on at least one CSP (AWS, Azure, GCP). - Bachelor's degree in Computer Science, or similar. - Proficiency with Terraform or equivalent IaC tool and a one scripting language. - Working knowledge of container runtime fundamentals. - Experience building CI/CD pipelines and integrating DevSecOps controls - Familiarity with monitoring/observability stacks and incident-management processes. - Strong troubleshooting, documentation, and customer-facing communication skills. - Cloud certifications on at least one CSP (AWS, Azure, GCP). - Experience with serverless services (Lambda, Cloud Functions), event-driven architectures (SNS/SQS, Event Hub, Pub/Sub), and microservice patterns. - Knowledge of compliance frameworks (SOC 2, HIPAA, PCI) and security hardening. - Exposure

Staff Software Engineer, ISPM - India Bangalore, India - Remote All roles at JumpCloud® are Remote unless otherwise specified in the Job Description. About JumpCloud® JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times. JumpCloud is Intelligent, Secure IT. The Problem Statement: The Invisible Identity Perimeter The Opportunity: Founding the ISPM Platform We're looking for: Bonus Points:

Director, Cloud Engineering Greece-Thessaloniki Chortiatis posted: Posted 18 Days Ago

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. 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 benefit offerings, and

Data Engineer I Bengaluru, Karnataka, IND FBA is seeking a Data Engineer to help build AI-native data infrastructure that embeds intelligence as a foundational feature. If you enjoy innovating and want to contribute to an industry-changing business while supporting next-generation intelligent data platforms, this role is for you. Core Responsibilities: AI-Native Infrastructure & Real-Time Processing Support the development of AI-native infrastructure for real-time data processing supporting AI/ML inference, training, and continuous learning Contribute to building semantic layers and knowledge graphs that enable intelligent query routing and context-aware data access Assist in developing infrastructure components for agentic AI systems with multi-agent orchestration Implement GenAI-powered data quality checks, entity resolution pipelines, and metadata management workflows Data-as-a-Product Delivery Contribute to end-to-end data product delivery from ingestion to consumption Support data products with clear SLAs, quality metrics, and customer satisfaction measures Help build self-service platforms with embedded governance, lineage, and discovery Implement data contracts and APIs for reliable, versioned data consumption AWS Infrastructure & Pipeline Engineering Work with AWS resources: EC2, Lambda, S3, Redshift, Kinesis, EMR, SageMaker, Bedrock, Neptune Build and maintain pipelines supporting analysts, data scientists, and AI agents Implement CDC and event-driven architectures for real-time data availability Deploy infrastructure-as-code using CDK/Terraform Required Qualifications 3+ years in data engineering with cloud-native architectures Working knowledge of AWS services (Redshift, S3, Glue, Kinesis, EMR) Experience with real-time streaming technologies (Kafka, Kinesis, or Flink) Exposure to AI/ML infrastructure (SageMaker, Bedrock) Proficiency in Python, SQL, and familiarity with infrastructure-as-code Preferred Qualifications Knowledge graphs (Neptune, Neo4j) and semantic

Staff Backend AI Engineer, Remote Remote | United States, UNITED STATES, United States Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description: Overview We are looking for a Staff Software Engineer to lead the delivery of high-throughput, large-scale transactional systems and agentic AI applications. You will serve as a technical anchor across engineering squads - setting the bar for code quality, cloud architecture, and engineering excellence while mentoring the next generation of engineers. You will report to the Sr. Principal Engineer. Responsibilities: Architect, build, and own services for large-scale transactional platforms - ensuring high availability, fault tolerance, and sub-second performance at millions of transactions per second. Lead the end-to-end design of agentic AI workflows using orchestration frameworks, such as LangGraph, AutoGen, and CrewAI. Implement these workflows using tool-calling patterns and multi-agent coordination on AWS. Write production-grade Python and Go services; establish language-specific idioms, patterns, and performance baselines adopted across engineering teams. Design and govern AWS-native infrastructure (ECS, EKS, Lambda, MSK, RDS Aurora, DynamoDB, SageMaker, or EventBridge) - ensuring solutions align with the AWS Well-Architected Framework. Establish engineering standards: code review practices, test coverage requirements, CI/CD pipelines, and observability instrumentation (distributed tracing, structured logging, alerting). Conduct

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

Cloud & AI Specialist - Sydney Sydney, NSW, AU

Sr. Delivery Consultant, Customer Experience, AWS Tokyo, JPN AWS グローバルサービスには、お客様のクラウド環境の設計、構築、運用、セキュリティ確保を支援するAWS全体のエキスパートが在籍しています。お客様はAWSプロフェッショナルサービスでイノベーションを実現し、AWSトレーニングと認定で技能を向上させ、AWSサポートとマネージドサービスで最適化を図り、AWSセキュリティ保証サービスで目標を達成します。当社の専門知識と最新技術には、AWSパートナー、AWSソブリンクラウド、AWS国際製品、ジェネレーティブAIイノベーションセンターが含まれます。数十カ国に及ぶ技術専門家による多様なチームに参加し、お客様がAWSクラウドでより多くを達成できるよう支援していただきます。 アマゾン ウェブ サービス プロフェッショナルサービス（ProServe）チームでは、熟練したデリバリーコンサルタントを募集しています。この役割では、お客様と緊密に協力して、技術要件とビジネス目標を満たすAWSソリューションの設計、実装、管理を行っていただきます。プロジェクトのライフサイクル全体を通じて技術的な専門知識とベストプラクティスを提供し、お客様のクラウドジャーニーにおける成功を推進する重要な役割を担っていただきます。 デリバリーコンサルタントとして、AWS製品とサービスに関する深い理解を持ち、各お客様の特定のニーズに合わせた複雑でスケーラブルかつセキュアなソリューションのアーキテクチャ設計に精通している必要があります。ステークホルダーと緊密に協力して要件を収集し、現在のインフラストラクチャを評価し、AWSへの効果的な移行戦略を提案していただきます。お客様の信頼できるアドバイザーとして、業界のトレンド、新興技術、革新的なソリューションに関するガイダンスを提供し、実装プロセスを主導して、ベストプラクティスの遵守、パフォーマンスの最適化、プロジェクト全体を通じたリスク管理を担当していただきます。 AWSプロフェッショナルサービス組織は、お客様がAWSクラウドを使用して望むビジネス成果を実現できるよう支援するグローバルな専門家チームです。私たちは、お客様のチームやAWSパートナーネットワーク（APN）と協力して、エンタープライズクラウドコンピューティングイニシアチブを実行します。当チームは、エンタープライズクラウド導入に関連する特定の成果の達成を支援する様々なオファリングを通じてサポートを提供します。また、さまざまなソリューション、テクノロジー、業界をカバーするグローバルスペシャリティプラクティスを通じて、重点的なガイダンスも提供しています。 Key job responsibilities - お客様のニーズに合わせた複雑でスケーラブルかつセキュアなAWSソリューションの設計と実装 - プロジェクト提供全体を通じた技術的なガイダンスとトラブルシューティングサポートの提供 - ステークホルダーと協力して要件を収集し、効果的な移行戦略を提案 - 業界のトレンドと新興技術に関するお客様の信頼できるアドバイザーとしての役割 - メンタリング、トレーニング、再利用可能な成果物の作成を通じた組織内での知識共有 About the team 多様な経験 Amazonは多様な経験を重視しています。職務内容に記載されている推奨される資格やスキルのすべてを満たしていない場合でも、応募をお待ちしています。キャリアが始まったばかりの方、従来の経歴とは異なる道を歩んできた方、あるいは異なる形での経験をお持ちの方も、どうぞご応募ください。 なぜAWSか Amazon Web Services (AWS)は、世界で最も包括的かつ広く採用されているクラウドプラットフォームです。私たちはクラウドコンピューティングの先駆者として、絶え間なくイノベーションを続けています。そのため、最も成功したスタートアップから世界のフォーチュン500企業まで、多くのお客様が自社のビジネスを支えるために当社の充実した製品とサービスを信頼しています。 ワークライフバランス 私たちはワークライフハーモニーを重視しています。仕事での成功は、家庭での犠牲の上に成り立つべきではありません。そのため、私たちは働く文化の一部として柔軟性を追求しています。職場と家庭の両方でサポートを受けられれば、達成できないことはありません。 インクルーシブなチーム文化 AWSは好奇心とつながりを大切にしています。従業員主導および会社が支援するアフィニティグループは、インクルージョンを推進し、私たち一人一人のユニークな個性を誇りに思えるよう支援しています。インクルージョンイベントを通じて、より強力で協力的なチームを育成しています。私たちの継続的なイノベーションは、チームがあらゆる活動にもたらす大胆なアイデア、新鮮な視点、情熱的な声によって推進されています。 メンターシップとキャリア成長 私たちは、地球上で最も優れた雇用主になることを目指し、常にパフォーマンスバーを上げ続けています。そのため、より優れたプロフェッショナルへと成長できるよう、知識共有、メンターシップ、その他のキャリア向上のためのリソースが豊富に用意されています。 Basic Qualifications: - 日本語が流暢、英語がビジネスレベル - コンタクトセンターテクノロジーアーキテクト、エンタープライズITアーキテクト、またはシニアコンタクトセンター開発者として、Avaya、Cisco、Genesys、Verint、NICE、Salesforce等の主要なコンタクトセンターテクノロジープラットフォームやアプリケーションでの実務経験が5年以上 - ハンズオンの技術実践者および個人貢献者としての経験 - 大規模なコンタクトセンターソリューションの設計、開発、展開における実践的な経験 Preferred Qualifications: - クラウドまたはオンプレミス環境でのコールセンター／コラボレーション／テレフォニープラットフォームの構築経験5年以上、特にCRM/WFMプラットフォーム向けのアプリケーション統合機能の構築経験 - Amazon Connectの機能、メリット、必要な展開スキルに関する知識。エンタープライズ環境におけるコンタクトセンターまたは通信インフラの設計、実装、運用の責任経験 - エンタープライズITコールセンターとインフラストラクチャに関連する分野でのIT業界における思想的リーダーシップの実績 - AI搭載カスタマーサービスソリューションの実装および最適化の経験 - 自然言語理解（NLU）、自然言語処理（NLP）、プロンプトエンジニアリング、大規模言語モデルの実装、チャットボット開発と最適化、AI/MLモデルのトレーニングとファインチューニングを含む、コンタクトセンターアプリケーションにおけるAI/ML技術の経験 - Amazon Lex、Lambda、Kinesis、Dynamo DB、BedrockおよびサードパーティのAIサービスとの複雑な統合を含むサーバーレス開発経験 - コンタクトセンタープラットフォーム、CRM、WFMの統合に関するソフトウェア開発／DevOps経験 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 in isn't listed, please contact your Recruiting Partner.

Systems Development Engineer, Tech SC Product & Portfolio Engineering Austin, Texas, USA Ready to solve challenging problems at global scale? Join Amazon's Tech Supply Chain team as a Systems Development Engineer to build innovative Gen-AI powered solutions for critical supply chain systems & problems. Design and implement scalable, distributed systems supporting Amazon's global supply chain operations. Write high-quality, production-ready code for unified platforms consolidating multiple ordering channels, real-time validation services, and workflow automation systems. Build data ingestion engines, financial tracking services, and role-based access control frameworks. Own end-to-end system design-from defining APIs and data models to selecting appropriate AWS services and ensuring operational excellence. Contribute to technical decisions balancing system reliability, performance, and feature velocity while collaborating with cross-functional teams. Key job responsibilities System Design & Development - Design and build distributed micro-services handling millions of transactions daily with 99.99% uptime SLAs - Develop and implement unified platforms consolidating legacy systems into single customer interfaces - Write production-ready code for real-time validation services with sub-second response times - Build scalable data ingestion engines supporting multiple formats with guardrail-based validation - Implement workflow automation systems with configurable approval routing and SLA tracking - Optimize database queries and caching strategies ensuring sub-100ms response times for critical paths - Develop event-driven solutions using AWS services (Lambda, API Gateway, DynamoDB, S3, SQS, SNS) Coding & Technical Contribution - Write high-quality, well-tested code for platform components and integration patterns - Participate in code reviews, providing constructive feedback and maintaining code quality standards - Contribute to

Cloud Engineer Azure (L2) Zwolle, Netherlands posted: Posted 30+ Days Ago

Cloud Support Engineer 2 Locations posted: Posted 2 Days Ago

Cloud Operations Architect / Architecte des opérations cloud, EMEA, France Courbevoie, Ile-de-France, FRA (English bellow) Français: Souhaitez-vous rejoindre l'une des organisations dont la croissance est la plus rapide au sein d'Amazon Web Services (AWS) et aider des clients de toute taille et de tous les secteurs d'activité, dont l'automobile, les services financiers, l'énergie, les mégadonnées et davantage, à bénéficier de la meilleure valeur et du meilleur service de la part d'AWS ? AWS Enterprise Support cherche un Architecte des opérations cloud pour soutenir l'esprit innovateur, créatif et transformateur de nos clients dans tous les domaines technologiques, notamment le calcul, le stockage, les bases de données, les services liés aux applications, la mise en réseau, l'informatique sans serveur, et plus encore. Il ne s'agit pas d'un rôle commercial, mais d'une occasion d'être le principal conseiller technique, ainsi que la « voix du client », auprès d'organisations allant des entreprises en démarrage jusqu'aux compagnies faisant partie du Fortune 500. À titre d'Architecte des opérations cloud, vous contribuerez à l'élaboration et à l'exécution de stratégies visant à encourager notre clientèle à adopter et utiliser les services AWS, notamment EC2, S3, les bases de données DynamoDB et RDS, Lambda, CloudFront CDN, IoT et plusieurs autres encore. Votre savoir-faire technique et vos aptitudes envers la clientèle vous permettront de représenter efficacement AWS dans l'environnement des clients, ainsi que mener des discussions avec les cadres supérieurs concernant les incidents, les compromis, l'assistance et la gestion des risques. Vous ferez des recommandations et fournirez des conseils techniques

SDE II, AWS Invoicing Vancouver, British Columbia, CAN Come join a creative team pursuing some of the hardest scalability, performance, and computing challenges in AWS. Join the excitement of building new customer facing capabilities from the ground up and turning customer needs into elegant, user-centered designs. Our team's vision is to be the world's leading provider of computing insight, where customers can understand, control and optimize usage of products. Because we sit at the nexus of all services and interact directly with end-customers, we build relationships with teams across to ensure that we offer a secure and reliable customer experience. We take inputs from these services and merge them with the millions of events every second to produce actionable insight to our customers. Providing a platform to support AWS's expanding business is a complex architectural challenge, and accurate cost and usage information is a critical piece. Enterprise-level customers make large dollar-value decisions based on the timeliness, accuracy, and detail of the data provided by our products. You will take on architectural challenges in making billions of usage records available for various customers and their use cases. You will be empowered to think big, invent on behalf of our customers, make judgment calls and find elegant solutions to hard problems. You will have the opportunity to learn and use modern technologies like Kinesis, DynamoDB, S3, Lambda, and more. Additionally, you will build meaningful software that helps to enable our largest customers to be able to evaluate their cost and usage data.

Sr. AWS Cloud and Platform Engineer Indianapolis, IN posted: Posted 30+ Days Ago