15 of 15 Permanent AWS Lambda Jobs in Scotland

annum Location: Fully Remote (UK-based) What you'll be doing: Design, build, and optimise scalable software using Node.js, TypeScript, React, AWS Lambda, Step Functions, DynamoDB Contribute to architecture discussions and ensure solutions are secure, cloud-native, and maintainable Use AI-assisted tooling to speed up development, testing … need: Strong full stack experience with a backend-first mindset Expertise in Node.js, TypeScript, React, and modern cloud engineering Hands-on experience with AWS serverless, particularly Lambda, Step Functions, DynamoDB Solid understanding of scalable architecture and performance optimisation Experience in scale ups, startups, or SMEs where speed, ownership ...

annum Location: Fully Remote (UK-based) What you'll be doing: Design, build, and optimise scalable software using Node.js, TypeScript, React, AWS Lambda, Step Functions, DynamoDB Contribute to architecture discussions and ensure solutions are secure, cloud-native, and maintainable Use AI-assisted tooling to speed up development, testing … need: Strong full stack experience with a backend-first mindset Expertise in Node.js, TypeScript, React, and modern cloud engineering Hands-on experience with AWS serverless, particularly Lambda, Step Functions, DynamoDB Solid understanding of scalable architecture and performance optimisation Experience in scale ups, startups, or SMEs where speed, ownership ...

annum Location: Fully Remote (UK-based) What you’ll be doing: Design, build, and optimise scalable software using Node.js, TypeScript, React, AWS Lambda, Step Functions, DynamoDB Contribute to architecture discussions and ensure solutions are secure, cloud-native, and maintainable Use AI-assisted tooling to speed up development, testing … need: Strong full stack experience with a backend-first mindset Expertise in Node.js, TypeScript, React , and modern cloud engineering Hands-on experience with AWS serverless , particularly Lambda, Step Functions, DynamoDB Solid understanding of scalable architecture and performance optimisation Experience in scale ups, startups, or SMEs where speed, ownership ...

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 ...

distributed systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation … pipelines Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance & Enterprise Secure systems design, identity/ ...

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 ...

trusted technical partner on complex data initiatives. Key responsibilities include: Designing and building scalable data platforms and ETL/ELT pipelines in Azure and AWS Implementing serverless, batch, and streaming data architectures Working hands-on with Spark, Python, Databricks, and SQL-based analytics platforms Designing Lakehouse-style architectures … looking for Essential experience Proven experience as a Data Engineer working with large-scale data platforms Strong hands-on experience in either Azure or AWS, with working knowledge of the other Azure experience with Lakehouse concepts, Data Factory, Synapse and/or Fabric AWS experience with Redshift, Lambda ...

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 ...

data structures. Experience with libraries such as PyTorch, OpenCV, PIL/Pillow, and Hugging Face for working with AI/ML models. Familiarity with AWS services, including Lambda, S3, CloudWatch, and Boto3 for automation and deployment. Expertise in FastAPI for API development and experience with SQLAlchemy or psycopg2 ...

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. ...