Senior DevOps Engineer

Ocho
Belfast, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Belfast, United Kingdom

Tech stack

Java
PHP
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cloud Engineering
DevOps
Ansible
Google Cloud Platform
Kubernetes
Terraform
Go

Job description

You'll design, build, and support the cloud infrastructure that powers a highly scalable AI platform. You'll enhance automation, observability, and reliability across systems, identifying issues before customers ever feel an impact., * Build and maintain cloud infrastructure in Google Cloud Platform (GCP)

  • Develop and manage IaC using Terraform
  • Support deployments and orchestration via Kubernetes
  • Contribute to configuration automation with Ansible
  • Improve observability, monitoring, and alerting
  • Diagnose performance issues through tracing and monitoring tools
  • Collaborate with engineering and work comfortably with code (Go, Java, PHP)
  • Enhance CI/CD pipelines and DevOps best practices

Requirements

  • 5+ years in DevOps, SRE, or cloud engineering
  • Strong GCP experience (or Terraform + AWS with ability to learn GCP fast)
  • Excellent Terraform and Kubernetes skills
  • Experience with Ansible is a plus
  • Strong background in observability and performance tooling
  • Ability to read and understand application code (Go > Java > PHP)
  • Experience in fast-growing or startup environments
  • Strong communication and collaborative mindset

Team & Culture:

You'll join a tight-knit DevOps team of four (manager + three engineers) with a people-first, growth-focused culture and the autonomy to influence key technical decisions.

About the company

Our client is a rapidly growing, AI-driven technology company transforming how enterprises deliver quality software. Their agentic test automation platform helps global organisations ship faster through adaptive, resilient AI-powered testing.

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