DevOps Engineer

Postaladdress
London, UK
3 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
£75,000 - £100,000
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Bash Shell Continuous Integration DevOps Python (Programming Language) Large Language Models Kubernetes Terraform Golang Microservices

Job description

You will build and run the platform every Reflexivity squad ships on. You will join DevOps, the squad responsible for building and maintaining the infrastructure platform that powers all our microservices across multiple cloud environments.

This role exists to ensure our enterprise customers have a stable, reliable, and resilient platform, while making service delivery and deployments efficient, and predictable.

You will work closely with engineers across every squad to make building, deploying, and running services fast and reliable.

What You’ll Be Responsible For

  • Build and maintain infrastructure as code on Azure / GCP / Kubernetes / Terraform
  • Run CI/CD that lets squads build and release every service the same way
  • Keep dependencies, images, and cluster access secure through automation
  • Improve monitoring and alerting so problems reach the people who can fix them
  • Take part in the on-call rotation and lead incident follow-ups
  • Collaborate with Enterprise client’s team, * After 3 months: You ship infrastructure changes with review and know how services are built and deployed.
  • After 6 months: You own pipelines or components end to end and handle incidents in your area.
  • After 12 months: You own a part of the platform and are trusted to make design calls within it.

Requirements

  • 2 to 5 years DevOps, SRE, or platform engineering experience
  • Production experience with containers, CI/CD, and infrastructure as code
  • Experience with at Azure and GCP cloud providers
  • Comfortable using AI-assisted coding tools daily, * Writing tooling in Golang / Python / Bash
  • Security or compliance work, especially in regulated environments
  • Experience running infrastructure for ML or LLM workloads, * Engineers own systems end to end
  • Clear accountability and direct feedback
  • In-office team with high trust and high ownership

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Loading talks and stories from around this role…