176 to 200 of 915 Remote/Hybrid AWS Lambda Jobs

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

FastAPITyping is used within our Python stack to power automated documentation and API definitionsRelational Databases (PostgreSQL) at the heart of majority of servicesWe're AWS for Cloud hosted servicesHeavy use of AWS lambda ServerlessDocker (AWS ECS) for uniform development/deployment from dev to prodRequirementsThis role ...

Security Cloud Engineer, you will help shape the future of our cloud security capability by developing and enhancing secure cloud platforms across AWS, Microsoft Azure, and Google Cloud Platform (GCP). Working closely with engineering, security, DevOps, and operational teams, you will contribute to cloud architecture designs, automate security … improvements and enhancements to cloud infrastructure in alignment with business strategy, budget, and security objectives. Design, build, and maintain secure cloud-native solutions across AWS, Azure, and GCP environments. Collaborate with engineering and DevOps teams to deliver secure, scalable, and highly available cloud services. Support business stakeholders in adopting ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at the heart of this journey. Together , we are driving a customer-centric transformation that … securely, and effectively to create value for customers and the business. THE DIFFERENCE YOU MAKE The Data & AI Domain is looking for a Senior AWS Cloud Engineer based out of Milton Keynes or Glasgow. In this role, you will be responsible for engineering, operating, and evolving the AWS ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at the heart of this journey. Together , we are driving a customer-centric transformation that … securely, and effectively to create value for customers and the business. THE DIFFERENCE YOU MAKE The Data & AI Domain is looking for a Senior AWS Cloud Engineer based out of Milton Keynes or Glasgow. In this role, you will be responsible for engineering, operating, and evolving the AWS ...

hiring a hands‐on Backend Developer to build and ship production serverless services for a fintech platform. Languages: TypeScript, Node.js (18–22) AWS: Lambda, DynamoDB, S3, SQS, EventBridge, Step Functions Frameworks/middleware: Serverless Framework, Middy Libraries: Zod (schemas/validation), Winston (logging), AWS X‐Ray (tracing … Luxon (dates) Tooling: ESLint, Prettier, Terraform, GitHub Actions Your role at xpate: Build and evolve Lambda‐first microservices that handle real money flows and integrations. Design REST APIs with type‐safe schemas (Zod) and contracts that don’t rot. Model data in DynamoDB (access patterns first) and use PostgreSQL ...

leading technology and engineering consultancy is looking for experienced AWS Cloud Engineers to support critical National Security programmes. This is an opportunity to build, deploy and maintain cloud-based applications and services that contribute directly to protecting the UK. Working within an autonomous DevOps team, you will collaborate closely … Dedicated Career Manager and clearly defined progression opportunities Access to professional training, certifications and learning platforms What you need Strong commercial experience working with AWS and solving complex technical challenges Experience with a range of AWS services, potentially including EC2, ECS, EKS, S3, Lambda ...

Role AWS Data Engineer Location: New York (Hybrid preferred, Remote possible) Type: Full Time We are seeking a hands on AWS Data Engineer with 15+ years of experience to design, build, and optimize scalable data pipelines. The ideal candidate is a strong communicator, detail oriented, and thrives both … settings. Key Skills (Must Have): Advanced Python (OOP, multi threading, reusable packages, ETL automation, Airflow DAGs) Strong SQL (complex queries, performance optimization, Snowflake preferred) AWS expertise (S3, ECS, IAM, cloud security best practices) AI implementation experience with solution designing CI/CD with GitHub, testing frameworks (Python unit/ ...

internal developer platform with standardised paved road approaches to infrastructure to bring your code into production as quickly as possible. We’re AWS for Cloud hosted services Heavy use of AWS lambda Serverless Docker (AWS ECS) for uniform development/deployment from dev to prod Requirements ...

management and optimization. Experience with ETLs and data transformation Solid expertise in HTML, CSS, JavaScript, and ReactJS. Extensive experience with cloud platforms such as AWS including services for database hosting, API management, and serverless computing. Proficiency with Docker for containerization and orchestration tooling such as ECS (Amazon Container Services … staying up‐to‐date with emerging technologies and industry best practices. Nice-to-Have Qualifications: Familiarity with message brokers such as Kafka, or AWS SQS for handling asynchronous communication. Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation for managing cloud infrastructure. Knowledge of observability and monitoring ...

Hays are now looking for a Java Engineer/AWS Serverless Engineer (SC Cleared ) for one of our local clients: £428 p/d Inside IR35 Remote (occasional travel to London) 6 month+ contract Candidates must hold current SC Clearance Role Overview We're looking for a hands … Java Engineer to develop and support cloud-native services within an AWS environment. You'll work on Java microservices, REST APIs and serverless components, contributing across the full software development lifecycle. Key Responsibilities Develop and maintain Java-based microservices and APIs. Build and support AWS serverless solutions using ...