1 to 25 of 60 Permanent Amazon S3 Jobs in London

data engineer with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable More ❯

and operational standards What we’re looking for: 5+ years’ experience in DevOps or Cloud Engineering, with deep expertise in AWS Strong knowledge of AWS services including EC2, Lambda, S3, RDS, IAM, and VPC Proven experience building and maintaining infrastructure as code with Terraform Solid background in containerization and orchestration (Docker, Kubernetes - ideally EKS) Experience with scripting/automation More ❯

multifunctional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. Requirements: Deep knowledge of cloud services (e.g., EC2, S3, RDS, Lambda, Azure VMs, Azure Functions). Good experience in Cloud Engineering with a strong focus on Azure and/or AWS Experience with Infrastructure as Code (Terraform, ARM More ❯

Vue.js, or Angular with TypeScript. Backend: Node.js, TypeScript, Express, or NestJS. Databases: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) . Cloud & DevOps: Experience with AWS services (Lambda, S3, Cognito, RDS) and containerization (Docker, Kubernetes). Security & Compliance: Familiarity with OAuth, JWT, HIPAA/GDPR compliance. Join a purpose-driven startup focused on improving patient outcomes. Collaborate with More ❯

Tools like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the More ❯

ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python or Java (scripting, automation) GitHub Actions (CI/CD More ❯

You’ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, S3, IAM, etc.) Kubernetes (building and managing production clusters) Terraform (for full IaC provisioning) Python (scripting, automation) GitHub Actions/Azure DevOps (CI/CD pipelines) Docker & Helm (for containerised More ❯

root cause analysis Bridge the gap between technical and non-technical stakeholders with clear, effective communication Required Skills/Experience: Hands-on experience with core AWS services such as S3, EC2, Lambda, IAM, and CloudWatch A track record of handling support tickets and incident management in fast-paced technical environments Familiarity with Infrastructure-as-Code tools (Terraform preferred) and More ❯

head of infrastructure role in the future. Key Skill requirements: 5+ years experience of AWS architecture, networking and resources including VPC, CloudTrail, CloudWatch, CloudFormation, Cognito, API Gateway, CloudFront, RDS, S3, VPN, EC2, ECS 2+ years experience with automation of DevOps build using GitHub actions/Bitbucket/Jenkins/Maven 3+ years experience with Terraform/IaC 5+ years More ❯

distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc) Would you like to join us as we work hard, have fun and make history? Apply for this job More ❯

tools such as Terraform, Crossplane, and Helm, with a focus on building scalable, reliable, and reproducible infrastructure. In-depth knowledge of AWS cloud services, especially core services like VPC, S3, EC2, Kinesis, RDS, and EKS, with experience in multi-account setups and optimising for performance and cost-efficiency. Skilled in container management and orchestration using Docker, Kubernetes, Helm, Service More ❯

reusable code in TypeScript (Node.js for backend, React/Next.js for frontend if full-stack). Build and deploy serverless applications using AWS services like Lambda, API Gateway, DynamoDB, S3, Step Functions, and EventBridge. Design and implement RESTful APIs and/or GraphQL endpoints. Write infrastructure as code (IaC) using tools like AWS CDK (TypeScript), CloudFormation, or Terraform. Use More ❯

and contribute to team knowledge. Required Skills 3+ years in a data engineering role. Proficient in SQL and Python . Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/CD pipelines, and containerisation (e.g., Docker). Ability to troubleshoot BI tool More ❯

and contribute to team knowledge. Required Skills 3+ years in a data engineering role. Proficient in SQL and Python . Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/CD pipelines, and containerisation (e.g., Docker). Ability to troubleshoot BI tool More ❯

Level (Solutions Architect/DevOps/Developer/SysOps). 5+ years of hands-on experience in cloud architecture, design, and implementation. Deep expertise across AWS services including EC2, S3, Lambda, VPC, and IaC tools (CloudFormation/Terraform). Proven track record architecting and leading cloud migration strategies. Strong experience with DevOps tooling (Git, Jenkins, Docker, Kubernetes). Multi More ❯

Responsibilities Proven experience as a Data Architect or Lead Data Engineer in AWS environments Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions) Background in energy, trading, or financial markets is a strong plus Excellent knowledge of Python, SQL More ❯

ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) GitHub Actions (CI/CD pipelines) What They’re Looking More ❯

skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's More ❯

skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's More ❯

skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's More ❯

practices and tools such as GitHub Actions or Azure DevOps Nice to have: Experience of working with Apache Spark/Flink/Kafka Familiarity with object storage e.g. AWS S3 Knowledge of containerised development workflows using e.g., VSCode Basic understanding of cloud platforms like AWS or GCP Experience contributing to open-source or internal code templates, demos, or accelerators More ❯

applied to connectivity challenges. Our stack Backend: PHP (Laravel), Python (for AI/ML workflows) Frontend: React, Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were More ❯

engineering teams. Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python. Proven ability to drive cross functional technical initiatives and deliver results through collaboration More ❯

large-scale digital programmes Deep understanding of API Gateway design and enhancement Experience modernising legacy systems and migrating to cloud-native platforms Solid grasp of AWS (API Gateway, Lambda, S3, VPC) Familiarity with Java, DB2, relational databases, and network concepts Desirable experience includes: OpenAPI schemas, Kubernetes, Spring Boot, JBOSS/EJB, Postgres, Python Prior work within UK government departments More ❯

role such as Solutions Engineer, Sales Engineer, Developer Advocate, or Technical Consultant. You have deep experience with the AWS ecosystem and services relevant to ML, such as SageMaker, EC2, S3, IAM, and VPC. You are familiar with deep-learning frameworks like PyTorch or JAX, and libraries from the AI ecosystem like Hugging Face Transformers. You have worked with the More ❯