Drimva

BuildOps

Senior Software Engineer

$168K–$224K

Los Angeles, California +3 · Senior · Full-time · Posted Sep 2, 2026

Location
Los Angeles, California
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, implement, roll out, monitor, and maintain reliable product features and systems.
  • Improve system performance, scalability, observability, and resilience; identify technical risks and reduce toil.
  • Collaborate across Product, Design, and Engineering, contribute to technical decisions, mentor engineers, and use AI tools in development workflows.

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, including reliable APIs, services, and user-facing applications.
  • Experience with databases, data modeling, relational database tradeoffs, and owning ambiguous projects with sound technical judgment.
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field from a top university; ability to work the stated hybrid schedule.

Nice to have

  • Experience with TypeScript, JavaScript, Python, React, or similar modern application technologies.
  • Experience with cloud infrastructure, Kubernetes, Docker, infrastructure-as-code, event-driven systems, AWS, integrations, or 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 improving engineering throughput, learning speed, and execution quality.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 4, 2026 (UTC)