DevOps Engineer - London

Posted 4 Hours Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
75K-100K Annually
Mid level
Artificial Intelligence • Healthtech
The Role
Build and operate the infrastructure platform supporting microservices across Azure, GCP, and Kubernetes. Responsibilities include infrastructure as code, standardized CI/CD pipelines, automated security controls, monitoring and alerting, incident response, and platform reliability improvements. The role requires close collaboration with engineering squads and enterprise clients, participation in on-call rotations, and end-to-end ownership of platform components.
Summary Generated by Built In

You build infrastructure that other engineers never have to think about.

You automate the fix instead of applying it by hand twice.

You want the platform you run to power decisions involving real money.

If you have only maintained infrastructure someone else designed, this is not the role.

The Role, In Plain English

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
What "Good" Looks Like in This Role
  • 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.
Who You Are (Must-Haves)
  • 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
Nice-to-Haves
  • Writing tooling in Golang / Python / Bash
  • Security or compliance work, especially in regulated environments
  • Experience running infrastructure for ML or LLM workloads
How We Work
  • Engineers own systems end to end
  • Clear accountability and direct feedback
  • In-office team with high trust and high ownership
Why This Role Is Worth Your Time
  • Every squad builds on what you run
  • Strong technical ownership
  • High bar engineering culture without bureaucracy
Practicalities
  • In-office role based in London
  • No agencies
Salary Range
£75,000—£100,000 GBP

Skills Required

  • 2 to 5 years of DevOps, SRE, or platform engineering experience
  • Production experience with containers, CI/CD, and infrastructure as code
  • Experience with Azure and GCP cloud providers
  • Comfort using AI-assisted coding tools daily
  • Experience writing tooling in Golang, Python, or Bash
  • Security or compliance experience, especially in regulated environments
  • Experience running infrastructure for ML or LLM workloads
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
8 Employees

What We Do

We empower organizations and institutions with the capabilities to more effectively identify mental health challenges to ensure patients, team members, and constituents receive the care they need. Toggle offers a new form of artificial intelligence that merges advances in computational cognition with machine learning. We call it Comp Cog AI, and it predicts anxiety, depression, and suicidal planning using a single 3-minute assessment involving images. Its accuracy is cutting-edge against peer-reviewed findings for these three mental health challenges and is immune to manipulation or gaming, ensuring highly repeatable results. Fast, accurate & inexpensive, Toggle’s solution is built on the latest developments in neuroscience and supported by deep academic review and competitive government funding. Example Use Cases: - Rapid & regular screening for Military, Defence and Public Safety personnel - Screen for mental health during every visit to the Emergency Room or Medical Clinic - Triage and best route callers in crisis line and telehealth environments - Regularly assess at-risk groups remotely, triggering outreach where needed - Offer screening to students and the workforce to deliver timely intervention

Similar Jobs

Scribe Logo Scribe

Senior Software Engineer

Artificial Intelligence • Productivity • Software
In-Office or Remote
2 Locations
119 Employees

NBCUniversal Logo NBCUniversal

Partner Marketing Intern

AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Remote or Hybrid
London, Greater London, England, GBR

NBCUniversal Logo NBCUniversal

International Payroll Analyst

AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Hybrid
London, Greater London, England, GBR

NBCUniversal Logo NBCUniversal

Business Solutions Intern

AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Remote or Hybrid
London, Greater London, England, GBR

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
85 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account