Senior Software Engineer โ Developer Infrastructure & Runtime IntelligenceLocation: San Francisco, CA (Onsite, MondayโFriday)
Visa: Open to all visas, including H1B
About the CompanyWe are partnering with a well-funded, early-stage (sub-10 person) US-based developer-tools company building next-generation infrastructure to improve the reliability, performance, and correctness of modern codebases.Founded by experienced engineers who care deeply about automated testing, runtime validation, and delivering fast, high-signal feedback to developers, the company has already validated product-market fit with paying customers. This is an opportunity to join at a pivotal growth stage and help accelerate the technical roadmap.
The OpportunityThis is a high-impact Senior Software Engineer role focused on core infrastructure and developer-facing tooling.
You will work at the intersection of:
Systems design
ML-adjacent data processing
Backend/platform engineering
Developer productivity tooling
You will build systems that ingest code and runtime signals, perform large-scale analysis, and surface clear, actionable insights directly within developer workflows.
As an early engineering hire, you will help shape architecture decisions, engineering standards, and long-term platform direction.
Key ResponsibilitiesOwn and evolve significant portions of the core engine that analyzes and validates software behavior across large codebases.
Design and implement highly reliable, low-latency services to collect, process, and store:
Execution traces
Test results
Runtime artifacts
Observability signals
Build developer-facing APIs, CLIs, and UI workflows that translate complex analysis into actionable insights.
Collaborate closely with founders and early engineers on system architecture and technical roadmap.
Partner with early design customers to translate real-world developer pain points into scalable product features.
Take loosely defined problems, design pragmatic solutions, ship iteratively, and own quality end-to-end.
Required Qualifications2โ8 years of experience in backend, infrastructure, systems, or developer tools-focused engineering.
Strong proficiency in at least one modern backend/systems language such as:
Experience working with large codebases and production systems.
Hands-on exposure to reliability, observability, CI/testing infrastructure, or performance engineering.
Experience designing scalable backend services and distributed systems.
Ability to operate effectively in a small, high-ownership, early-stage environment.
Core Technical Background (ML-Adjacent Requirements)Strong programming foundation with hands-on experience using modern ML libraries and tooling (or similar ecosystem equivalents).
Practical experience implementing and tuning current-generation ML architectures.
Exposure to large-scale sequence models and efficiency/reasoning optimization techniques.
Ability to integrate ML-driven analysis into production systems (even if not an ML specialist).
Nice-to-Have (Bonus Signals)Experience with:
Prior work building developer tools (IDEs, CI/CD systems, test frameworks, profilers, debuggers).
Exposure to ML-enabled developer workflows.
Contributions to open-source developer infrastructure projects.
Work EnvironmentOnsite in San Francisco (MondayโFriday collaboration model).
Small, founder-led team with high autonomy.
Direct impact on product direction and engineering culture.
Why This is a Strong OpportunityProduct already validated with paying customers.
Early entry into a high-growth trajectory.
Direct access to founders and architectural decision-making.
Ownership over meaningful platform components.
Ability to influence technical standards from the ground up.