9 of 9 AWS Lambda Jobs in High Wycombe

delivering high-quality front-end experiences using modern JavaScript frameworks. The role requires expertise in database design, DevOps, cryptographic data handling, and AWS cloud technologies. Key Responsibilities Design, develop, and maintain backend services using TypeScript, Node.js, and PHP 8.1+ and modern JavaScript frameworks (React, Vue, or similar). Build … mobile applications. Design efficient data models and queries for MySQL (Aurora) and DynamoDB. Implement secure authentication and authorisation mechanisms (e.g., JWT, OAuth2, API keys, AWS SigV4). Automate build, test, and deployment pipelines using AWS CDK, Bitbucket Pipelines, GitHub Actions, or similar. Manage deployments across Dev, Staging ...

motivation matter more than ticking every box. What they're looking for Experience with (or enthusiasm to learn) JavaScript/TypeScript, Node.js, React, and AWS (Lambda, Fargate, S3) Exposure to modern testing tools such as Cypress, Playwright, Mocha, or Chai A pragmatic, methodical approach to improving legacy systems ...

environment. What you'll need: Core Technology skills required – Strong full stack software engineering skills. Desirable technology skills: Python, Django, React, JavaScript, MySQL, SPAs, AWS (Lambda, CloudFormation, RDS). 5+ years of relevant experience in the core technology skills Best practice software development skills and practices. Excellent communication ...

frontend-facing schemas Ensuring codebases are of high-quality and well-tested (pytest) Contributing to architectural decisions around scalability, performance, and security Cloud & Infrastructure (AWS) Developing on AWS using services such as: Lambda, Fargate, EC2 S3, SNS, SQS API Gateway, AppSync DynamoDB, RDS Working with Bitbucket + … AWS CodePipeline for CI/CD Supporting secure, production-grade cloud deployments Geospatial & Data Engineering Working with a wide range of geospatial data formats and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ...

analysts and banking teams. Your work will focus on: Designing and implementing robust event-driven microservices and APIs Building scalable, cloud-native systems on AWS Developing modern, responsive React front-ends Integrating LLM-powered capabilities into real-world workflows Collaborating closely with product and AI specialists to turn ideas … working with You should be comfortable with most of our core technologies: Node.js and TypeScript React and modern front-end tooling AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS) NestJS or equivalent back-end frameworks Microservices and event-driven architectures We also actively ...

whole company. Help hire future colleagues and shape the team you want to work with. Our tech stack: We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. … building reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ...

years of experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory ...

modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. ...