DevOps Engineer

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 DevOps Engineer on the Platform team, you’ll build and operate the infrastructure that every engineering team at Invisible depends on — Kubernetes, CI/CD, identity, secrets management, networking, and observability — along with the internal tooling that allows engineers and AI coding agents to ship safely and quickly.

The Platform team is small relative to the surface area it covers, which means you’ll take ownership of production systems early and see the impact of your work across every client engagement. A single well-designed abstraction here removes friction for the entire engineering organisation.

We are looking for engineers who don’t just apply best practices in IaC, Kubernetes, CI/CD and observability, but understand the problems those practices were designed to solve. Most were built around the pace and failure modes of human engineers. Those assumptions are changing, and we want people ready to help rewrite the rulebook for the agentic era.

What You’ll Do

• Own platform services end to end — design, build, operate, and improve them, including on-call responsibility
• Deliver infrastructure as code using Terraform, Helm, and ArgoCD, with GitOps as the default operating model
• Build and maintain developer experience tooling: onboarding templates, CI/CD pipelines, local development environments, and self-service capabilities that remove manual gatekeeping
• Contribute to our agent infrastructure — sandboxed execution environments, credential brokering, guardrails, and the internal MCP servers and skills that make coding agents effective against our stack
• Improve observability and alerting so that system health is visible and actionable without manual investigation
• Participate in incident response and post-incident review, treating failures as systemic issues rather than individual ones

What We Need

• Kubernetes & Cloud: Hands-on experience running production Kubernetes with real users and real consequences, on GCP, Azure, or AWS
• Infrastructure as Code: Working knowledge of Terraform, Helm, and GitOps delivery patterns such as ArgoCD or Flux
• Programming: Proficient in Python, able to step outside of it when called for.
• AI Coding Agents: Demonstrable mastery of agentic coding tools. You understand how to scope work so an agent completes it successfully, how to build the context and tooling that makes that possible, and how to identify confidently incorrect output before it reaches production
• Engineering Judgement: You can articulate the reasoning behind the practices you follow — why immutable infrastructure, why trunk-based development, why SLOs — and where each begins to break down when changes are machine-generated
• Communication: Strong written communication across runbooks, design documents, and code review. Much of the role is written
• Comfort operating in ambiguity, with the initiative to identify what matters without being told
• We weight demonstrated capability over years of experience or formal qualifications. We're interested in what you've built and how you work

What’s In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

*Offers will also include bonus + equity

You can find more information about our geographic pay tiers here . During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Bonuses and equity are included in all offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It's Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world‑class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front‑row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.
AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.