
Staff+ Software Engineer - Backend
Resolve AI6 months ago
Responsibilities
- Build simulation environments for training and evaluating AI agents on debugging, incident response, infrastructure changes, and on-call work
- Collaborate with research scientists and domain experts to translate SRE scenarios into reproducible, graded environments
- Own the architecture and implementation of large subsystems from initial design through long-term evolution
- Design, build, and scale backend services and APIs for generating, running, and scoring scenarios in high-concurrency environments
- Ensure reliability, scalability, and performance across distributed system layers
- Iterate quickly by shipping initial versions, monitoring behavior, identifying failures, and refining implementations
- Develop realistic environments that reflect how production systems fail
Requirements
- At least 1 year ideally operating at a Staff or equivalent technical leadership level
- Strong backend engineering experience building and deploying scalable, high-performance services in high-concurrency production environments
- Experience with cloud platforms, especially AWS, and Kubernetes
- Solid understanding of databases and messaging systems for cloud-native applications
- Ability to rapidly prototype, deploy, observe, debug, and refine systems
- Willingness to use AI tools to amplify development and interest in LLM-powered systems
- SRE, on-call, or incident response experience is a bonus
- Familiarity with observability and developer-facing tool internals is a bonus
Benefits
- Comprehensive medical, dental, and vision insurance
- Monthly housing stipend
- Flexible unlimited paid time off
- Visa sponsorship and immigration support
- 401(k) plan
- Parental leave
- Discretionary tech benefit stipend
- Daily in-office lunches and dinners
Tech Stack
Categories
About Resolve AI
Resolve AI builds autonomous “AI Production Engineer” agents that investigate, triage, and remediate production incidents for software teams. It sells enterprise software to SRE, platform, and engineering organizations to reduce on-call toil and speed root-cause analysis. Founded in 2024 and headquartered in San Francisco, it is privately held; engineering teams at Snowflake, MongoDB, Coinbase, and DoorDash are cited users of its agents.