5 of 5 Remote AWS Jobs in Bath

server operating systems. Hands-on experience with Kubernetes, including deploying, managing and troubleshooting clusters, and familiarity with Helm charts Experience of using one or more of major cloud providers (AWS, Azure, GCP) and best practices Understanding of microservice architectures and service mesh (e.g., Istio, Linkerd) is a plus Experience with scripting/configuration-as-code experience such as Python, Ansible More ❯

product, and compliance functions. You bring strong mentoring skills and are passionate about fostering team growth and development . You're comfortable working across our stack: Node.js, React, MongoDB, AWS, Lambda, Serverless Framework , and write clean, maintainable code in JavaScript and TypeScript . You thrive in a hands-on leadership role where you can contribute to architecture, delivery planning, and More ❯

operate secure hybrid infrastructure. Job Duties and Responsibilities This is a Kubernetes heavy role, developing and mainting the clusters, and orchestrating with Ansible. Experience in Azure and/or AWS cloud environments. Experience in Python is essential. Experience with Terraform for IaC (Infrastructure as Code) is essential. Linux servers (RedHat, Ubuntu, and Debian) upkeeping and deploying. What We Offer The More ❯

AWS DevOps Engineer AWS DevOps Engineer is urgently required to join one of our key clients on a 6 month fully remote contract. You'll join a talented team responsible for designing and building an AWS platform and be expected to work closely with the Product Teams. This is an Outside IR35 position. Contract Duration: 6 months, with the possibility … of extension. Pay Rate: Up to £475 to £500 per day. Skills & Experience: Designing and building platforms in AWS CI CD Pipelines Kubernetes Terraform AWS - CDK, Serverless, Lambda, S3, API Gateway, Cloud Formation Agile Please ensure to apply or contact Andy at Cathcart Technology at (phone number removed). More ❯

datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. More ❯