4+ years in the industry with a bachelor's degree or 2+ years with a master's degree
Proven expertise in building and deploying robust backend and storage services with a focus on scalability and high performance
Hands-on experience with cloud platforms (particularly AWS) and Kubernetes, along with solid understanding of databases and messaging systems
Track record of leading the end-to-end creation and launch of customer-facing features to enhance customer success
Keen interest and some experience in leveraging AI and developing applications powered by Large Language Models (LLM)
Responsibilities
Lead or own the design and implementation of large subsystems
Drive high engineering standards through design, code reviews, and test plan evaluations
Incorporate excellence in reliability, scalability, and performance into distributed system designs
Participate in on-call rotations, incident reviews, and operational tasks to maintain service quality
Engage with customers and design partners to deeply understand their challenges and integrate feedback into system design
Benefits
Equity with Early Exercise & QSBS Eligibility
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
Full Job Description
What You'll Do
Build 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.
What We're Looking For
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.
Why Join Resolve AI?
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
