4 of 4 Terraform Jobs in Stockport

implementation experience in one or more tool e.g. Gitlab, Jira, Codebuild, etc Experience with AWS. Infrastructure as a code experience – Cloudformation, AWS CDK, Terraform, etc Experience using Docker and Kubernetes to containerize applications, manage deployments, and support scalable, distributed systems. Experience in at least 1 common scripting language eg. Python ...

Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. … with software engineering, and security teams to drive platform excellence. Key Responsibilities Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components). Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation. Manage secrets securely using services such ...

calls. You'll be supporting internal infrastructure that powers thousands of hosted environments, working closely with other infrastructure and DevOps engineers. Nice to Haves Terraform Ansible Bash scripting Python Automation or configuration management tooling Experience with cPanel/WHM Strong troubleshooting and diagnostic skills Experience with monitoring and alerting tools ...

from you! What You'll Be Doing: Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC … engineers, data scientists & DevOps teams Your Experience: Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton ...