BuildOps
Senior Software Engineer
$168K–$224K
San Francisco, CA +3 · Senior · Full-time · Posted Sep 2, 2026
- Location
- San Francisco, CA
Los Angeles, California, United States
San Francisco, California, United States
Toronto, Ontario, Canada - Experience
- 5+ years of software engineering experience.
- Education
- B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field from a top university.
About the job
Build and scale frontend and backend product features, services, APIs, and integrations for commercial contractors, owning work from design through operation.
What you'll do
- Design, build, maintain, and operate reliable product features and systems across frontend and backend applications.
- Own projects end to end, including technical design, implementation, rollout, monitoring, and maintenance; improve performance and reliability.
- Collaborate across teams, contribute to technical decisions, mentor engineers, and use AI tools to accelerate development and debugging.
What they ask for
- 5+ years of software engineering experience building and operating production systems at scale.
- Experience building product features across frontend and backend systems, including reliable APIs, services, and user-facing applications.
- Strong software design, database and data-modeling knowledge, debugging skills, and experience making technical decisions amid ambiguity.
- Practical experience with AI-assisted development tools; B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field from a top university.
Nice to have
- Experience with TypeScript, JavaScript, Python, React, cloud infrastructure, Kubernetes, Docker, or infrastructure-as-code tooling.
- Familiarity with Kafka, Redis, Elasticsearch, AWS, integrations, data pipelines, SaaS, or Claude Code and similar AI coding agents.
Pay
$168,000 - $224,000 USD base salary range
Tools
TypeScript, JavaScript, Python, React, Kubernetes, Docker, Kafka, Redis
AI focus
Use AI-assisted development tools for development, debugging, documentation, workflow acceleration, and improved engineering throughput, learning speed, and execution quality.
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