Senior Software Engineer Developer Infrastructure & Runtime Intelligence Location: San Francisco CA (Onsite Monday Friday)
Visa: Open to all visas including H1B
About the Company We 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 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 Opportunity This 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 Responsibilities -
Own 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 Qualifications -
2 8 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 Environment -
Onsite in San Francisco (Monday Friday collaboration model).
-
Small founder-led team with high autonomy.
-
Direct impact on product direction and engineering culture.
Why This is a Strong Opportunity -
Product 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.
Senior Software Engineer Developer Infrastructure & Runtime Intelligence Location: San Francisco CA (Onsite Monday Friday) Visa: Open to all visas including H1B About the Company We are partnering with a well-funded early-stage (sub-10 person) US-based developer-tools company building next-gen...
Senior Software Engineer Developer Infrastructure & Runtime Intelligence Location: San Francisco CA (Onsite Monday Friday)
Visa: Open to all visas including H1B
About the Company We 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 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 Opportunity This 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 Responsibilities -
Own 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 Qualifications -
2 8 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 Environment -
Onsite in San Francisco (Monday Friday collaboration model).
-
Small founder-led team with high autonomy.
-
Direct impact on product direction and engineering culture.
Why This is a Strong Opportunity -
Product 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.
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