Senior Software Engineer II, DevEx
New
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SamsaraDeveloper tools
This is a remote position open to candidates residing in the United States.Full-TimeSenior
SalaryAnnual Base Salary $154,700 — $260,000 USD; eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance
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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, CICD and/or platform engineering-focused teams.
- Required Skills
- AWSPythonGCPGoCI/CD
Requirements
- Have 8+ years of experience designing and building products in a software engineering team.
- Hold a bachelor's degree in computer science or engineering, or have equivalent practical experience.
- Have 3+ years of experience on developer experience, CI/CD, 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, using Buildkite or equivalent BYOC software.
- Have experience working on large-scale enterprise software applications.
- Have experience building and maintaining an organization's software development lifecycle.
- 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 code in Go, Python, or an equivalent language, focused on infrastructure, deployment, and operations challenges.
- Have experience orchestrating multiple AI agents to tackle complex, recurring tasks.
- Demonstrate leadership and direction-setting skills as a technical lead.
Responsibilities
- Scale in-house CI/CD systems to support increased pull-request throughput.
- Reduce technical debt using AI workflows.
- Design and build deployment safeguards that protect production at scale.
- 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 emerging AI capabilities and turn successful experiments into platforms used across the company.
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