Senior Software Engineer (Python, Kubernetes)

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.

About Symbotic

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.

Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform.

Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies.

Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency.

As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers.

For more information, visit www.symbotic.com .

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter.

Every perspective matters.

We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world.

Responsibilities

• 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.

Requirements

• 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.
• 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

• Experience supporting robotics, warehouse automation, industrial automation, or autonomous systems.
• Understanding how robotics software, edge services, backend platforms, and infrastructure interact in large-scale operational environments.
• Experience with observability platforms including Prometheus, Grafana, ELK, Open Telemetry, or similar tools.
• Experience with GitOps technologies such as ArgoCD or Flux.
• Exposure to enterprise Kubernetes platforms including Rancher, OpenShift, or Tanzu.
• Experience supporting deployments in customer-facing or operational environments.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong judgment under pressure and the ability to communicate effectively during critical production incidents.
• Ability to identify operational inefficiencies and proactively automate repetitive tasks.
• Our Environment Up to 10% of travel may be required.
• Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
• Employees may be required to use a personal credit card for business travel expenses, which are reimbursed based on the program guidelines.
• Eligible employees may receive a corporate credit card based on role and travel requirements, but a personal credit card may be needed during onboarding until the corporate card is issued.

That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.