Staff Software Engineer (Python, Kubernetes)
Symbotic Inc.Visit Symbotic Inc. website
Symbotic develops AI-enabled robotic systems and software for end-to-end warehouse and supply-chain automation.
Wilmington, Massachusetts, United States
About Symbotic Inc.
Symbotic provides turnkey warehouse automation systems that use autonomous robots and AI-enhanced software to store, move, sort, and fulfill goods, including distribution and micro-fulfillment operations.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own deployments across development, staging and production and make them repeatable. You will lead deep troubleshooting of distributed systems, maintain CI/CD pipelines, improve deployment processes, participate in incident response, mentor junior engineers, and automate manual steps using shell scripting.
Requirements
- 10+ years in deployment, release engineering, production reliability or systems operations
- Deep Kubernetes experience
- Strong Linux and Windows skills
- Proven Jenkins, Git, CI/CD, branching strategy and release management experience
- Shell scripting proficiency
- Experience working across distributed global teams and independently in an offshore model
- Clear English communication
- Robotics background or architectural understanding of system communication
- Up to 10% travel with valid driver's license
Responsibilities
- Own deployment across development, staging and production
- Lead advanced troubleshooting and debugging across distributed systems
- Design, develop and maintain scalable software solutions
- Drive implementation and maintenance of CI/CD pipelines
- Partner with DevOps, QA, infrastructure and product teams
- Oversee and improve deployment processes
- Ensure reliability and observability in containerized environments and participate in incident response and postmortems
- Mentor junior engineers and contribute to technical decisions
- Automate manual and error-prone build and deploy steps using shell scripting