Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.
Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.
We’ve raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).
Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one.
What You'll DoBuild simulation environments where AI agents can be trained and evaluated on realistic SRE work: debugging, incident response, infra changes, on-call grind.
Work directly with Research Scientists and domain experts to translate real SRE scenarios into reproducible, graded environments that are actually hard.
Own the architecture and implementation of large subsystems, from early design through long-term evolution. Infra, tooling, data pipelines, scoring, whatever the job needs.
Design, build, and scale the backend services and APIs that generate, run, and score scenarios in high-concurrency environments.
Bake reliability, scalability, and performance into every layer of the system, especially where it's distributed.
Close the loop fast. Ship a rough version, watch it run, find where it breaks, refine.
Dig into the weeds on realism. The environments should reflect how production actually fails, not a sanitized version of it.
Use AI tools aggressively across the stack, from code gen to scenario generation to debugging, to move faster than you could alone.
Ideally with 1+ years operating at a Staff or equivalent technical leadership level
Strong backend engineer with real experience building and deploying scalable, high-performance services in high-concurrency production environments.
Experience with cloud platforms (especially AWS) and Kubernetes, and a solid grasp of databases and messaging systems for cloud-native applications.
Bias for action. You close the loop quickly to get an initial version in front of people, then refine from there.
Not afraid to get in the weeds. You like digging into technical problems, getting your hands dirty, staring at data, and debugging.
You use AI tools to amplify what you can build, and you're eager to go deeper on LLM-powered systems.
Bonus: prior SRE, on-call, or incident response experience.
Bonus: familiarity with observability and other developer-facing tool internals.
Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.
Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.
Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.
Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.
Competitive Benefits: Competitive Pay Packages with full benefits including:
Comprehensive Medical, Dental, and Vision Insurance
Monthly Housing Stipend
Flexible (Unlimited) Paid Time Off
Visa Sponsorship & Immigration Support
401(k) Plan
Parental Leave
Discretionary Tech Benefit Stipend
Daily in-office Lunches and Dinners
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.
Skills Required
- Experience with AWS and Kubernetes
- Strong backend development experience
- Experience with databases and messaging systems
- Experience in high-concurrency production environments
- Familiarity with observability tools (bonus)
- Prior SRE or incident response experience (bonus)
Resolve AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Resolve AI and has not been reviewed or approved by Resolve AI.
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Healthcare Strength — Benefits highlight comprehensive medical, dental, and vision coverage with added access to services such as One Medical and Spring Health, indicating robust health support.
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Leave & Time Off Breadth — Policies include flexible PTO, sick time, paid holidays, and parental leave, suggesting broad time-off options.
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Wellbeing & Lifestyle Benefits — Perks such as in-office meals, a tech allowance, and a housing or parking stipend indicate meaningful everyday support aligned to an in‑person San Francisco workplace.
Resolve AI Insights
What We Do
Our AI Production Engineer investigates & resolves incidents, so you can focus on building. Let’s make machines be on-call for humans, not the other way around.
