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# Lead DevOps Engineer

- **Company:** Ocho
- **Location:** Belfast, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Computer Programming, Databases, Continuous Integration, Linux, DevOps, Elasticsearch, Github, Python (Programming Language), PostgreSQL, MySQL, Neo4j, Open Source Technology, Queueing Systems, RabbitMQ, Redis, Scripting, Delivery Pipeline, Templating, Kubernetes, Terraform, Golang
- **Published:** August 18, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5845410160

## About the Role

mindset, Deep knowledge of CI/CD pipelines (GitHub Actions, ArgoCD). Hands-on experience with IaC (Terraform, Terragrunt, CDK). Proficiency in Helm templating. Scripting/programming skills (Python, Bash, Go). Innovative, quick learner with strong ownership and accountability. Benefits: Salary up to £100k (depending on experience) 35 days annual leave (inc stat) 8% matched pension Equity/shares option Please apply if you meet the above criteria, or reach out to Andrew Harrison directly to discuss further. Skills: Cloud AWS Azure Kubernetes Terraform Linux Databases Benefits: Work From Home

## Description

Lead DevOps Engineer | Belfast Join one of Belfast's most exciting tech companies as a Lead DevOps Engineer, working with a genuinely modern stack (Kubernetes, Terraform, Argo, Helm, VictoriaMetrics, Neo4j, Elasticsearch, Redis, TimescaleDB, RabbitMQ) and real ownership over infrastructure and CI/CD at scale. What You'll Do: Own infrastructure, CI/CD pipelines and product features end to end. Design and implement cloud technologies and open-source tools to boost reliability and scalability. Drive developer experience and infrastructure improvements. Ensure stable, scalable execution of product infrastructure. Monitor and maintain production systems. Requirements: 5+ years as a DevOps Engineer in a high-scale, distributed production environment (Linux). Expertise in containerised environments, especially Kubernetes. Experience with databases and queueing systems (Elasticsearch, MySQL, Neo4j, Postgres, RabbitMQ, Redis, etc). Strong cloud infrastructure experience., Automation-first


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