Samsara
Senior Software Engineer II, DevEx
$155K–$260K
Remote - US +1 · Remote · Senior · Full-time · Posted Sep 29, 2026
- Location
- Remote - US
Remote - NYC - Experience
- 8+ years in software engineering product development and 3+ years in developer experience, CI/CD, and/or platform engineering; alternatives are not stated.
- Education
- Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
- Visa sponsorship
- All offers are contingent upon the ability to secure and maintain the legal right to work at the company and in the specified work location.
About the job
Build and scale AI-enabled developer experience systems that automate the software delivery lifecycle while keeping deployments safe, observable, and reliable.
What you'll do
- Scale in-house CI/CD systems and reduce technical debt using AI workflows.
- Build deployment safeguards, observability, evaluation, and feedback systems for AI-driven automation.
- Partner with engineering teams to adopt safe AI-enabled delivery practices and improve engineering productivity.
What they ask for
- 8+ years designing and building products in a software engineering team; 3+ years on developer experience, CI/CD, and/or platform engineering-focused teams.
- Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
- Experience building AI workflows, orchestration systems, or AI harnesses, including orchestrating multiple AI agents at scale.
- Proven experience architecting CI/CD, build and deploy platforms, and automated response workflows; experience with large-scale enterprise software and organizational SDLC/DevEx.
Nice to have
- Experience building in-house CI/CD systems.
- Experience building for FedRamp, StateRamp, or other compliance requirements.
Pay
$154,700 — $260,000 USD annual base salary
Tools
Buildkite, AWS, GCP, Go, Python
AI focus
Build AI-native SDLC workflows and agent systems for code review, CI/CD, deployment checks, production validation, automated response, and developer productivity, with emphasis on safety, observability, and reliability.
Model-written summary · the original posting is authoritative