Software Engineer (Python, Kubernetes)
Symbotic develops AI-enabled robotic systems and software for end-to-end warehouse and supply-chain automation.
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 end-to-end deployments across development, staging, customer and production environments. You will plan and execute upgrades, hotfixes and rollouts, manage large-scale Kubernetes environments, troubleshoot failures, monitor stability, and drive continuous improvement. You will be the technical escalation point for deployment and production issues.
Requirements
- 4 years of experience supporting software deployments, production environments or platform operations
- Experience with containerized environments
- Strong troubleshooting and root-cause analysis skills
- Strong Linux administration experience
- Experience with Docker
- Experience with Git and CI/CD tools such as Jenkins, GitHub Actions or Azure DevOps
- Basic scripting in Python, Bash or Shell
- Strong English communication skills
- Up to 10% travel with valid driver's license
Responsibilities
- Own end-to-end deployment activities across development, staging, customer and production environments
- Plan, coordinate, execute, validate and support upgrades, deployments, hotfixes and rollouts
- Manage and support large-scale Kubernetes environments
- Troubleshoot deployment failures, infrastructure, startup and configuration issues
- Monitor deployment health, stability and platform performance
- Drive continuous improvements in deployment processes and reliability
- Serve as technical escalation point for deployment and production issues
