Principal Software Engineer in Test

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

We are seeking a highly experienced Principal Engineer Testing to join our dynamic engineering team. The ideal candidate will bring deep expertise in quality engineering automation and test strategy for complex distributed systems. As part of the core team building our AI platform youll design and lead the testing architecture for autonomous workflows intelligent agents and high-reliability infrastructure.

What Youll Do

• Design implement and own the testing architecture across the AI platform spanning backend APIs data pipelines and AI models
• Build and scale automation frameworks to support unit integration regression performance and AI-specific testing
• Develop test strategies that balance reliability speed and coverage for complex dynamic and data-heavy systems
• Create simulation and sandbox environments to test AI workflows and orchestration logic
• Integrate automated testing into CI/CD pipelines enabling confident rapid deployments with safety guarantees
• Lead root cause analysis and implement practices that prevent regressions across systems and features
• Champion a quality-balanced culture and mentor engineers in best practices for building robust testable systems

What We Need

• 10 years of experience in software quality engineering test automation or systems testing roles
• Expertise in test automation frameworks (e.g. Pytest Playwright etc.) and infrastructure-as-code pipelines
• Strong programming skills in Python JavaScript/TypeScript
• Experience designing and validating tests in distributed event-driven and microservices architectures
• Familiarity with testing in AI/ML systems including model output validation and behavior-driven testing.
• Experience with containerized environments (Docker) and cloud platforms (AWS/GCP/Azure)
• Strong understanding of CI/CD systems (particularly Git) and modern observability tooling (e.g. Grafana Prometheus)
• Excellent problem-solving debugging and documentation skills
• A track record of technical leadership and mentoring in cross-functional environments

Nice to have

• Experience testing large-scale AI frameworks LLM integrations or decision systems
• Exposure to tools like dbt Spark or DataDog
• Contributions to open-source testing tools or quality initiatives
• Deep curiosity about LLM behavior autonomous systems and human-in-the-loop testing strategies
• A desire to develop the most consequential AI software system of the future!

Whats 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.

You can find more information about our geographic pay tiershere. 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 Its Like to Work at Invisible:

At Invisible were not just redefining workwere reinventing it. We operate at the intersection of advanced AI and human ingenuity pushing the boundaries of whats possible to unlock productivity and scale. Ownership is at the core of everything we do. Here you wont just execute tasksyoull 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. Were not for everyone and were okay with that. If youre looking for predictable routines this isnt the place for you. But if youre driven to create thrive in dynamic environments and want a front-row seat to the AI revolution youll 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 weve 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:
Were 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.

Equal Opportunity Statement:
Were 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.