DevOps Engineer

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 world’s 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 DevOps Engineer, you'll own a domain of the Invisible platform — such as identity, compute, delivery, or agent infrastructure — and set the direction for how it works. You'll 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 You’ll 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 shouldn't be automated