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Senior DevOps Engineer

Job in London, Greater London, W1B, England, UK
Listing for: Invisible Technologies
Full Time position
Listed on 2026-09-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Job Description & How to Apply Below

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data automates digital workflows deploys agentic solutions measures outcomes and integrates human expertise where it matters most.

Our platform cleans labels and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed the same approach we have used to improve models for more than 80% of the worlds top AI companies including Microsoft AWS and Cohere.

Our successes span industries from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025 we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

As a Senior Dev Ops Engineer youll own a domain of the Invisible platform such as identity compute delivery or agent infrastructure and set the direction for how it works. Youll define the patterns that engineering teams across the company adopt and be accountable for their reliability security and cost.

This is a role where judgement matters more than throughput. Deciding which problems are worth solving recognising when the unremarkable solution is the correct one and knowing when to decline a bespoke request from a client engagement are the day-to-day of the job.

We are looking for engineers with a first-principles understanding of platform practice not just fluency in it. Code review staged rollouts change management and least privilege were all designed around human engineers working at human speed. Those assumptions no longer hold cleanly. A meaningful part of this role is determining what still applies what needs reworking and what has to be built from scratch.

What

Youll Do
  • Own a platform domain end to end including architecture roadmap reliability security posture and cost
  • Lead design and trade-off discussions across performance scalability cost security and reliability and document the decisions
  • Build multi-tenant infrastructure that client engagements can self-serve onto without the Platform team becoming a delivery bottleneck
  • Advance our agent-native engineering model safe execution environments credential and secret handling internal tooling and MCP servers and evaluation of where agents genuinely improve outcomes
  • Set standards for how the engineering organisation works with coding agents including review practice context engineering and what should and shouldnt be automated
  • Partner with client-facing engineering teams to understand their infrastructure requirements and translate them into reusable platform capability
  • Mentor engineers on the team review their designs and raise the technical bar without absorbing their work
  • Own on-call and post-incident review practice
What We Need
  • Kubernetes & Cloud: Proven experience designing and operating production Kubernetes at multi-team scale on GCP Azure or AWS
  • Infrastructure as Code: Deep experience with Terraform Helm and Git Ops delivery including a clear view of how these degrade when implemented poorly
  • Platform Security: Strong grounding in identity and SSO workload identity secrets management and network policy. You can reason about a threat model directly rather than through a compliance checklist
  • Programming: Strong Python. You build tooling not only configuration
  • AI Coding Agents: Exceptional practical command of agentic coding tools and a track record of making other engineers more effective with them. Youve built the harnesses guardrails and internal tooling and you have a considered view of where agents deliver value and where they quietly cost more than they save
  • Engineering Judgement: A first-principles grasp of why platform practices exist. You can identify which survive contact with agentic engineering which need reworking and which were only ever ceremony
  • Communication: Excellent written communication. You can take an ambiguous problem and…
Position Requirements
10+ Years work experience
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