Senior DevOps Engineer (U.S. Public Sector)
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
We are seeking an experienced Senior DevOps Engineer with a proven track record of enhancing development efficiency, test integrity, and deployment robustness within the Public Sector. In this role, you will be a critical stakeholder for Product, acting as an owner of our core systems and ensuring technical decisions avoid debt and waste.
You will focus on building sophisticated DevOps structures that bridge the gap between high-scale AI software and the rigorous security requirements of the US Government. This role requires a blend of deep technical expertise in modern DevOps systems and the high-level communication skills necessary to mentor a growing team.
What You’ll Do
- Architect Build & Testing Systems: Design and maintain robust DevOps practices utilizing modern systems like GitLab, emphasizing build-time efficiency through advanced caching and parallelization
- Comprehensive Quality Assurance: Develop and manage sophisticated testing matrices encompassing unit, functional, end-to-end, performance, and load testing within federal cloud environments
- Automated Test Pipelines: Design and implement automated solutions to reduce manual operational tasks, specifically focusing on functional and load tests within secure CI/CD workflows
- Government Cloud Validation: Execute rigorous functional, integration, and regression testing tailored for applications operating within federal or DoD cloud environments
- Secure GovCloud Operations: Deploy, operate, and secure workloads specifically within AWS GovCloud (US) environments
- Lead ATO Processes: Support systems through the DoD Authorization to Operate (ATO) process, ensuring implementation of security controls, artifact development, and continuous monitoring in accordance with RMF requirements
- Multi-Target Deployment: Architect and implement multi-target packaging solutions and multi-environment promotion workflows to ensure reliable, repeatable software releases
- SRE & Compliance: Apply Site Reliability Engineering (SRE) practices to ensure system availability, automated compliance validation, and enforcement of security controls in ATO environments
- Collaboration & Mentoring: Work closely with software developers and QA engineers to streamline delivery while mentoring junior and mid-level engineers to promote skill development
- Performance Monitoring: Continuously improve system and pipeline performance, reliability, and scalability while identifying and resolving bottlenecks
What We Need
- Active DoD Secret clearance or higher
- 8+ years of professional software development experience, with at least 4-6 years specifically developing advanced DevOps build structures
- GovCloud Expertise: Demonstrated experience testing and validating applications within federal or DoD cloud environments, specifically AWS GovCloud
- DevOps Platforms: Profound experience with GitLab and container orchestration platforms such as Kubernetes and Docker
- Infrastructure as Code: Strong understanding of tools like Terraform to manage cloud-based infrastructure
- Security & Networking: Deep knowledge of authentication/authorization (IAM, RBAC) and underlying networking considerations for secure architecture
- Automation Skills: Exceptional scripting skills, particularly with Python or Bash
- Communication: Excellent top-down communication skills with the ability to articulate complex technical concepts to diverse stakeholders
- Ability to work on-site 2-3 days per week at offices located in the greater Washington, D.C. and Reston, VA area
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.
For this position, the annual salary ranges by location are:
Tier 2 Salary Range
$135,000 - $175,000 USD
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 offers above entry level. 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’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email.
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.
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