> Markdown version of [/jobs/ext/4114935-devops-engineer](https://www.wearedevelopers.com/jobs/ext/4114935-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - **Company:** The Virtual Forge - **Location:** UK (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, DevOps, Disaster Recovery, Domain Name System (DNS), Github, Identity and Access Management, Python (Programming Language), Key Management, Network Security, Linux System Administration, SQL Azure, Networking Basics, Routing, Performance Tuning, Role-Based Access Control, Reliability Engineering, SQL Databases, Virtual Machines, Tisax, Data Logging, Scripting, Transport Layer Security, Load Balancing, GitHub Copilot, Amazon ElastiCache, Claude Code, AI Coding Agents, Amazon Virtual Private Cloud (VPC), Git, Kubernetes, Cloudwatch, Terraform, Docker - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b87b180d54ecf94f ## About the Role * Typically 5+ years of hands-on experience in a DevOps, Cloud, SRE or Platform Engineering role. * Production experience with either AWS or Azure and their core equivalents (e.g. EC2/Virtual Machines, VPC/Networking, IAM/Entra ID, RDS/Azure SQL, ElastiCache, S3/Storage, CloudFront/Front Door, CloudWatch/Azure Monitor). * Strong, real-world Terraform skills: you'll be writing production infrastructure from day one. * Comfortable using AI coding assistants, such as Claude Code or GitHub Copilot, in your day-to-day work. * Experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions or similar), and working with Git. * Good knowledge of Docker and container orchestration (ECS or Kubernetes). * Comfort with Linux administration and scripting (Bash or Python). * Strong cloud security skills: IAM and least privilege, network security, encryption and secrets management, backed by a security-first mindset. * Solid networking fundamentals (DNS, TLS, load balancing, routing). * A pragmatic, delivery-focused approach: you look for the right solution at the right cost, and give reliable estimates you deliver against. * Good written and spoken English: you'll work every day with international clients and colleagues. * The ability to manage your own time, juggle a few priorities and know when to ask for help. Nice to have * Database administration skills: SQL, performance tuning and partitioning strategies. * Deeper Kubernetes experience (EKS or AKS, Helm, ArgoCD/Flux). * AWS or Azure certifications, such as AWS Solutions Architect - Associate, AWS DevOps Engineer - Professional, Azure Administrator Associate or Azure DevOps Engineer Expert. * Experience working in organisations certified to ISO 27001, TISAX or Cyber Essentials, and knowing what compliant infrastructure looks like without being told: tagging, environment separation, alerting and logging., * Infrastructure as Code: 4 years (Preferred) * AWS: 4 years (Preferred) * Azure: 4 years (Preferred) * Terraform: 4 years (Preferred) * building and maintaining CI/CD pipelines: 3 years (Preferred) Language: * English (Required) ## Description * Designing, building and evolving cloud infrastructure for our clients' platforms across AWS and Azure, mostly as code with Terraform. * Keeping our CI/CD pipelines and containerised workloads running smoothly, so our teams can ship safely and often. * Building infrastructure properly from the start: secure by design, consistently tagged, with production and non-production kept separate, and with the monitoring and alerting we need to stay audit-ready. * Looking after reliability: backups, disaster recovery, scaling, and learning from incidents so they don't happen twice. * Keeping an eye on cloud costs and suggesting practical ways to cut them. * Automating the repetitive stuff, and writing clear documentation and runbooks. * Working closely with your engineering team colleagues, explaining options and trade-offs in plain language.