Senior Software Engineer II, DevEx

New

SamsaraDeveloper experience

This is a remote position open to candidates residing in the United States.Full-TimeSenior

SalaryAnnual Base Salary $154,200 — $260,000 USD

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Job Details

Experience: 8+ years of experience designing and building products in a software engineering team; 3+ years of experience working on developer experience, CI/CD and/or platform engineering-focused teams.
Required Skills: AWSGCPGoCI/CD

Have 8+ years of experience designing and building products in a software engineering team.
Have a bachelor's degree in computer science or engineering, or equivalent practical experience.
Have 3+ years of experience on developer experience, CI/CD, and/or platform engineering-focused teams.
Have experience building AI workflows, orchestration systems, or other AI harnesses.
Have experience architecting CI/CD systems, build and deploy platforms, and automated response workflows; Buildkite or equivalent BYOC software experience is cited.
Have experience with large-scale enterprise software applications.
Have experience building and maintaining a large organization's software development lifecycle (DevEx).
Be familiar with cloud platforms such as AWS or GCP.
Have experience implementing AI-driven automation across the SDLC and routinely applying AI tools in your workflow.
Write high-quality Go, Python, or equivalent code focused on infrastructure, deployment, and operations challenges.
Have experience orchestrating multiple AI agents to tackle complex, recurring tasks.
Demonstrate technical leadership and the ability to set direction and high standards for peers.

Scale in-house CI/CD systems to support increasing pull-request throughput.
Reduce technical debt using AI workflows.
Design and build deployment safeguards that protect production at scale.
Use AI to monitor production and fix issues.
Build observability, evaluation, and feedback systems for AI-driven automation.
Design AI-native workflows that improve engineering throughput while maintaining reliability.
Partner with product engineering teams to reduce operational toil and support adoption of safe, AI-enabled delivery practices.
Experiment with AI-assisted software development capabilities and turn successful experiments into platforms used across the company.

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