15 of 15 Contract AWS CDK Jobs

Hands-on experience with SQL-based and NoSQL (Document-based) databases. Deep understanding of AWS services and cloud environments. Familiarity with AWS Cloud Development Kit (CDK)and services like Lambda, SQS, S3, Cognito, EventBridge, and more. Experience with DevOps practices, including CI/CD pipelines, Docker, and GitHub Actions. Strong knowledge of security best practices … convey complex concepts to diverse audiences. Detail-oriented with a commitment to delivering high-quality, reliable work. Client Tech Stack: Languages : Node.js, TypeScript, React Databases : PostgreSQL, DynamoDB, Redis AWS Services : Lambda, SQS, S3, Cognito, EventBridge, CloudFormation, Fargate, SES, CodeBuild, CodePipeline, CloudFront, API Gateway, and more. What happens next? One of our Recruitment Consultants will be in touch and More ❯

AWS Serverless Engineer - Contract - c.£400/450 p/day Hybrid, London Spinks … have partnered with an exciting consultancy business who are seeking experienced AWS Serverless Engineer to join them on a contract basis. Key Details: AWS Serverless (CDK, Lambda) Experience in TypeScript Experience with Node 3 month + Extension Outside IR35 c.£(Apply online only) p/day 2 days per week in Central London or remote More ❯

AWS/Python/DevOps Understands landing zones Cloud formation CDK cloud infra as code AWS Build AWS infra landing zone Build an area for innovation Build from a devops perspective LamBda functions Python Please click here to find out more about our Key Information Documents. Please note that the documents provided contain More ❯

AWS/Python/DevOps · Understands landing zones· Cloud formation· CDK cloud infra as code· AWS· Build AWS infra landing zone· Build an area for innovation· Build from a devops perspective· LamBda functions· Python Please click here to find out more about our Key Information Documents. Please note that the documents provided contain More ❯

AWS/Python/DevOps · Understands landing zones · Cloud formation · CDK cloud infra as code · AWS · Build AWS infra landing zone · Build an area for innovation · Build from a devops perspective · LamBda functions · Python Please click here to find out more about our Key Information Documents. Please note that the documents provided contain More ❯

you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You … blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and response formatting * S3 operations including … multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library More ❯

ll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You … blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and response formatting * S3 operations including … multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library More ❯

experience with CI/CD, infrastructure as code, and automation Expertise in Unix/Linux (RHEL/CentOS) and scripting with Bash, Python, or Go Significant experience with AWS cloud infrastructure Deep understanding of IaC tools: Terraform, Packer, CloudFormation. Expereince of administering MongoDB clusters or RDS (not just used as a developer). Strong Terraform experience including production … managing modules, remote state, multi-env, or Terragrunt. Understanding of version control, state backends, and team collaboration (use with AWS resources is a strong plus). Excellent Kafka skills including in a production setting, consumer lag, partitioning, troubleshooting, tuning, scaling topics. Experience of designing, implementing, securing, and supporting Unix/Linux based platforms (ideally RHEL/CentOS) and … Expereince Kafka experience within integrations within microservices or event driven architectures. Expereince of monitoring/observability with distributed tracing Data Lifecycle management with MongoDB or RDS. Expereince of CloudFormation, CDK, or multi-account architecture. The role is inside IR35 circa £550-£650.00 DOE- Long term contract until March 2026 Hyrid workign with ad hoc days on site in London More ❯

OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuth Development Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair programming) Infrastructure-as-code and cloud monitoring More ❯

OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuthDevelopment Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair programming) Infrastructure-as-code and cloud monitoring (e.g. More ❯

in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning, and advanced fine-tuning More ❯

extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced Python Engineer with a strong understanding of AI/ML/AWS, and commercial expertise in deploying AI systems using state-of-the-art machine learning libraries, cloud infrastructure, and modern Python-based tooling. What You'll Be Working On: Building … production-grade AI systems using LLMs , Object Detection , and OCR Leveraging frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with … async/await, and debugging Proven experience building and deploying AI/ML systems in the cloud ( AWS ) Solid grasp of CI/CD , infrastructure as code (CDK) , and Agile methodologies Familiarity with TDD , pair programming, and modern development practices Desirable: Advanced fine-tuning techniques (LoRA, QLoRA) RLHF, multi-modal AI, or edge deployment experience ML experiment More ❯

robust data pipelines using streaming and batch processing technologies and help to lead the modernization of their data lakehouse. You will implement and manage secure cloud infrastructure using AWS, championing a culture of data quality, security, and technical excellence. Key Responsibilities: Architect and maintain data pipelines (streaming & batch) Build and manage scalable data storage solutions (data lakehouse) Design … and maintain secure AWS cloud infrastructure Implement and manage CI/CD and DevOps pipelines Champion data quality, security, and best practices Collaborate with cross-functional … teams Implement and manage MLOps capabilities Essential Skills: Advanced Python programming skills Expertise in data engineering tools and frameworks (Apache Flink) Hands-on AWS experience (Serverless, CloudFormation, CDK) Strong understanding of containerization, CI/CD, and DevOps Modern data storage knowledge Sound like you? Please get your CV over ASAP. More ❯

robust data pipelines using streaming and batch processing technologies and help to lead the modernization of their data lakehouse. You will implement and manage secure cloud infrastructure using AWS, championing a culture of data quality, security, and technical excellence. Key Responsibilities: Architect and maintain data pipelines (streaming & batch) Build and manage scalable data storage solutions (data lakehouse) Design … and maintain secure AWS cloud infrastructure Implement and manage CI/CD and DevOps pipelines Champion data quality, security, and best practices Collaborate with cross-functional … teams Implement and manage MLOps capabilities Essential Skills: Advanced Python programming skills Expertise in data engineering tools and frameworks (Apache Flink) Hands-on AWS experience (Serverless, CloudFormation, CDK) Strong understanding of containerization, CI/CD, and DevOps Modern data storage knowledge Sound like you? Please get your CV over ASAP. More ❯

tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information on this opportunity please More ❯