Senior 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
- 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 GitOps 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. You've 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 produce a document that makes the decision clear to technical and non-technical stakeholders alike
- A track record of shipping infrastructure that other engineers depend on, and the willingness to challenge an approach when the room has already agreed on it
- We weight demonstrated capability over years of experience or formal qualifications
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.
Accessibility Statement:
We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557
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.