126 to 150 of 915 Remote/Hybrid AWS Lambda Jobs

software development experience Strong hands-on experience with React Strong experience with .NET/C# and REST APIs Hands-on experience developing and integrating AWS Lambda serverless services Experience designing and developing scalable, production-grade web applications Strong understanding of API integration, application architecture, and cloud development Experience … Strong problem-solving and communication skills Key Responsibilities: Design and develop full-stack applications using React and .NET Build and integrate serverless components using AWS Lambda Develop and maintain APIs and backend services Participate in architecture, design, code reviews, testing, and production support Collaborate with product, engineering ...

software development experience Strong hands-on experience with React Strong experience with .NET/C# and REST APIs Hands-on experience developing and integrating AWS Lambda serverless services Experience designing and developing scalable, production-grade web applications Strong understanding of API integration, application architecture, and cloud development Experience … Strong problem-solving and communication skills Key Responsibilities: Design and develop full-stack applications using React and .NET Build and integrate serverless components using AWS Lambda Develop and maintain APIs and backend services Participate in architecture, design, code reviews, testing, and production support Collaborate with product, engineering ...

with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year … awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class ...

Test Engineer - (AWS Console, Automation Testing) Leeds (Hybrid) Permanent £70,000 - £75,000 (DOE) Senior QA Automation Engineer/SDET with AWS test environments AWS Console, Playwright or Cypress TypeScript, JavaScript, API Testing, CI/CD needed for a permanent career opportunity based in Leeds (Hybrid). … business specialising in delivering large-scale Government digital modernisation projects. Key skills, experience + duties to include: Senior QA Automation Engineer/SDET with AWS test environments AWS Console essential, Playwright or Cypress TypeScript, JavaScript, API Testing, CI/CD AWS console experience is essential, experience navigating ...

Role We're looking for an AWS Cloud Engineer to join a team building and scaling a modern, enterprise-grade GenAI platform. This role is centred around designing, building and operating cloud-native solutions on AWS, while working closely with the application layer across both frontend and backend … ensuring systems can reliably support AI‐driven products at scale. What You’ll Be Doing Design, build and maintain cloud-native infrastructure on AWS Develop Infrastructure as Code using Terraform, CloudFormation or AWS CDK Build and support scalable, secure and resilient application platforms Work closely with engineers developing ...

Title: AWS Data Engineer Job Location: London, UK/Hybrid Job Type: 12 Months FTC Job Description: Need Expert in Python Pyspark, AWS, Cloud, AWS Services, AWS Components Designing and developing scalable, testable data pipelines using Python and Apache Spark Orchestrating data workflows with AWS … tools like Glue, EMR Serverless, Lambda, and S3 Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing Contributing to the development of a lakehouse architecture using Apache Iceberg Collaborating with business teams to translate requirements into data-driven solutions Building observability into data ...

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 servicesHeavy use of AWS lambda ServerlessDocker (AWS ECS) for uniform development/deployment from dev to prodRequirementsThis role will ...

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 ...

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 ...