Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
Symbotic is seeking a highly skilled Senior Software Engineer to join our team. This role is heavily focused on software deployment, Kubernetes platform operations, production troubleshooting, and robotics system support rather than traditional software development.
The ideal candidate will possess deep expertise in Kubernetes administration, deployment management, distributed systems troubleshooting, and production operations. This individual will play a critical role in deploying, maintaining, and supporting the software platforms that power Symbotic's advanced warehouse automation and robotics solutions.
What we do
The T3 Software Engineer team is responsible for building, deploying, operating, and supporting mission-critical software systems that drive warehouse automation at scale. We partner closely with Robotics, Controls, Infrastructure, DevOps, QA, and Product teams to ensure reliable deployments and stable operations across development, staging, customer, and production environments.
What you’ll do
Deploy, manage, upgrade, and support containerized applications across multiple Kubernetes environments.
Own end-to-end deployment activities, including release planning, execution, validation, rollback, and production readiness.
Manage and troubleshoot Kubernetes clusters, ensuring reliability, availability, and operational excellence.
Support software releases across customer, staging, and production environments.
Drive operational improvements to increase deployment efficiency and platform stability.
Support large-scale Kubernetes environments including deployment, scaling, upgrades, cluster administration, and incident response.
Troubleshoot complex infrastructure issues involving networking, storage, compute, service communication, and application performance.
Partner with Robotics, Controls, Infrastructure, QA, and Software Engineering teams to diagnose and resolve deployment and production issues.
Participate in release readiness reviews and ensure successful deployment execution across multiple environments.
Improve deployment processes, operational procedures, and platform stability through continuous process improvement.
What you’ll need
7+ years of experience in software engineering, release engineering, site reliability engineering, platform engineering, or deployment engineering roles.
Deep hands-on Kubernetes experience, including: Cluster administration, Application deployment, Scaling and performance tuning, Networking and ingress troubleshooting, Storage management, Cluster upgrades and lifecycle management, Production incident response
Strong troubleshooting and debugging skills in complex distributed systems.
Strong Linux administration experience and working knowledge of Windows environments.
Experience with container technologies including Docker and Kubernetes.
Experience with CI/CD platforms such as Jenkins, GitHub Actions, Azure DevOps, or similar technologies.
Strong knowledge of Git workflows, release management, and deployment practices.
Working proficiency in Python and Shell scripting, with an emphasis on operational automation rather than application development.
Understanding of microservices architectures and distributed application deployments.
Ability to independently manage high-priority production issues and drive them through resolution.
A track record of working effectively across multiple teams in a globally distributed environment.
Preferred qualifications
Experience supporting robotics, warehouse automation, industrial automation, or autonomous systems.
Understanding how robotics software, edge services, backend platforms, and infrastructure interact in large-scale…