1 to 25 of 35 Amazon S3 Jobs in the Thames Valley

About You AWS certification (Solutions Architect/DevOps Engineer – Associate or Professional level) 5+ years’ experience in cloud architecture, design, and implementation Expertise with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation or Terraform Strong experience with DevOps tools (Git, Jenkins, Docker, Kubernetes) Knowledge of cloud security and compliance frameworks (CIS, SOC 2, etc.) Proven More ❯

with the ability to translate technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines Why Join Competitive salary and comprehensive benefits package 25 days annual leave + bank holidays More ❯

based technology (IaaS, Docker, Kubernetes, OpenStack, monitoring system, authentication system, repository) Experience of writing infrastructure as a code (IaC) using Terraform Experience in various database repository model (SQL, NoSQL, S3, NAS) as a designer or administrator Experience in a large and complex distributed system with high availability and high scalability (using an application server, message-broker service, streaming, load More ❯

experience in .NET development , including .NET Core and C# . Strong experience in designing and developing Microservice architectures in cloud environments. Proven experience with AWS services including EC2 , Lambda , S3 , RDS , DynamoDB , SNS , SQS , EventBridge, AWS Amplify , and API Gateway . Familiarity with asynchronous messaging and event-based communication patterns (e.g., event queues , publish/subscribe ). Experience with More ❯

Java with AWS. Build intuitive, responsive front-end applications using modern JavaScript frameworks (React, Angular, or Vue.js) Architect and deploy cloud-native applications utilising AWS services such as EC2, S3, Lambda, RDS and API Gateway Optimise application performance and ensure high availability and security in the cloud Collaborate with product teams to deliver features on time and to specification More ❯

for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access More ❯

Systems Icinga2/Elastic Stack/InfluxDB/Grafana Application and network security best practices SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases PostgreSQL/MySQL CI/CD and DevOps Tools/principles About Us Gigaclear is a leading alternative operator of rural full fibre broadband networks in the More ❯

Systems – Icinga2/Elastic Stack/InfluxDB/Grafana Application and network security best practices – SSH/Iptables/TLS AWS (EC2/VPS/RDS/EKS/S3) Terraform Databases – PostgreSQL/MySQL CI/CD and DevOps Tools/principles About Us Gigaclear is a leading alternative operator of rural full fibre broadband networks in the More ❯

and message parsing/transformation. Hands-on experience deploying applications on Red Hat OpenShift and/or Kubernetes. Strong cloud experience with AWS services such as ECS, EKS, Lambda, S3, etc. Solid understanding of MongoDB and NoSQL design patterns. Prior experience in Payments Processing, financial services, or banking systems. Strong communication skills and a bias toward action and opinionated More ❯

security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What More ❯

UI: Typescript, React, Next.Js, HTML/CSS, Docker, GitHub Actions, AWS- CDK, ECS, ALB, VPC. API's: Go, Rest, CDK. AWS- CDK, Lambda, API Gateway, Dynamo DB, Event Bridge, S3, Severless and event driven architecture Platforms: Go, CDK, AWS Skills and experience: -Proficient in JavaScript and ideally familiar with Go , with a strong enthusiasm for learning and applying new More ❯

resolve complex issues internally, minimizing the need to escalate to AWS support. Hands-On Troubleshooting: Step in to troubleshoot and resolve advanced technical issues across AWS services (e.g., EC2, S3, RDS, VPC, Lambda). Ensuring the customer experience is top of mind. Process Improvement: Design and implement support workflows and preventive measures to reduce recurring issues and improve first 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 ❯

or more AWS certifications such as AWS Certified Solutions Architect, AWS Certified SysOps Administrator, or AWS Certified DevOps Engineer are required. Knowledge and experience of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Bachelor’s degree or equivalent within Information Technology, Computer Science, or related discipline 3+ years of design/implementation More ❯

analysis and self-serve data exploration Redis for caching and task queues GitHub, Codeship and Heroku for seamless code review, integration and deployment Claude Code for agentic coding AWS S3, CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more Our tech culture We follow More ❯

on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps More ❯

endpoint integrations ✨ Familiarity with Tailwind CSS v4 and Shadcn/ui component systems ✨ Knowledge of CI/CD pipelines (GitHub Actions) and containerisation (Docker) ✨ AWS deployment experience (CloudFront/S3, caching/CDN strategies) ✨ Exposure to accessibility standards (WCAG 2.1 AA) and testing frameworks (unit/integration/E2E) ✨ Interest in security best practices (CSP headers, XSS prevention, secure More ❯

programming. Familiarity with modern Front End technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact patient safety whilst working More ❯

and managing asynchronous data. Background in front-end delivery for cloud-hosted or enterprise-scale applications. Experience working within Agile delivery environments. Exposure to deploying applications through AWS Amplify, S3, or Azure App Services. More ❯

high-availability VPC networks, incorporating IAM roles, security groups, and VPN connections to external vendors and data providers. Support the deployment and configuration of AWS services including EC2, RDS, S3, Lambda, and related components. Contribute to automation initiatives, employing Infrastructure-as-Code (Terraform or CloudFormation) to ensure consistent and repeatable deployments. Assist with the development and maintenance of CI … Experience & Qualifications Required 1-2 years of experience in IT infrastructure, cloud engineering, or DevOps, ideally with hands-on exposure to AWS. Practical knowledge of AWS core services (EC2, S3, RDS, IAM, VPC). Understanding of Linux systems administration and shell scripting (Bash, Python, or equivalent). Familiarity with networking fundamentals (IP addressing, subnets, routing, VPN). Preferred Exposure More ❯

and account management (Auth0) Integrate payment processing and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API More ❯

in financial market data ingestion, ETL/ELT pipelines, data modelling, and provisioning. Advanced proficiency in Python and SQL. Hands-on experience with AWS data services (e.g. Glue, Redshift, S3, Lambda). Background in data quality management and scalable architecture. Experience engaging directly with front office users and traders. Exposure to energy and metals commodities, power generation, shipping, or More ❯

What's required to be successful in this role? Proven proficiency in Python development for automation, tooling and systems integration Strong experience with AWS, particularly core services such as S3 and EC2 Experience building and maintaining infrastructure automation with Terraform Solid understanding of Linux systems engineering - specifically Ubuntu - together with an understanding of networking concepts So What's Next More ❯

proficiency with React and modern JavaScript/TypeScript Solid backend experience with Python and/or PHP Database experience (MySQL; Airtable is a bonus) Familiarity with AWS (RDS, EC2, S3; Bedrock ideal) Git/version control expertise Strong problem-solving skills and attention to detail Excellent communication and teamwork Must-Haves Mobile development experience (React Native/Cordova/ More ❯

What You’ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow More ❯