Staff+ Software Engineer - Backend
Resolve AI4 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
AI for prod: Engineering teams at Snowflake, MongoDB, Coinbase, and DoorDash use Resolve AI's agents to run their software, so their engineers can get back to building.