Staff Software Engineer (Python, Kubernetes)

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 

We are looking for a hands-on technical leader to join our T3 Software Engineering 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 

• Own deployment across development, staging, and production: plan it, execute it, and make it repeatable. 

• Lead advanced troubleshooting and deep debugging across distributed systems, identify root causes, and implement robust fixes. 

• Design, develop, and maintain scalable, high-performance software solutions. 

• Drive the implementation, optimization, and maintenance of CI/CD pipelines. 

• Partner with DevOps, QA, infrastructure, and product teams to ensure seamless delivery. 

• Oversee and improve deployment processes across development, staging, and production environments. 

• Ensure reliability, observability, and performance in containerized environments; participate in incident response, postmortems, and continuous improvement. 

• Mentor junior engineers and contribute to technical decisions, engineering standards, and best practices. 

• Find the manual, slow, or error-prone steps in how we build and deploy and turn them into automation. 

• Use shell scripting and existing pipeline platforms to improve the process. Bring the automation; do not wait for someone else to design it. 

What you’ll need 

• 10+ years in technical roles centered on deployment, release engineering, production reliability, or systems operations, with substantial hands-on time debugging production-grade systems. 

• Deep, practical Kubernetes experience: orchestration, scaling, and troubleshooting in real environments. 

• Strong Linux and Windows skills. 

• Proven Jenkins, Git, CI/CD, branching strategy, software deployment, and release management experience. You have run releases, not only configured a pipeline. 

• Working proficiency in shell scripting, enough to automate a deployment or operational gap yourself. 

• A track record of working across many teams in a distributed, global setup, and of operating independently in an offshore model. 

• Clear English communication, including with senior stakeholders when a release is at risk. 

• Judgment about what is critical. You protect the deliverable, escalate early, and drive to a solution. 

• Comfort demonstrating the work live: deployments, failure analysis, and the case for a process change. 

• A robotics background or a solid architectural understanding of how systems communicate. 

• A team orientation, with a habit of looking for the next automation that will make the current process better. 

Preferred qualifications 

• Hands-on deployment and operations experience in supply chain or warehouse automation systems. 

• Familiarity with large-scale distributed systems in robotics, logistics, or industrial environments. 

• Experience with monitoring, logging, and observability tools. 

• Exposure to AWS, Azure, or Google Cloud Platform. 

• Understand the criticality in terms of deliverables 

• Ability to communicate and engage in leadership when needed 

• Drive toward solution 

What success looks like 

• Rapid identification and resolution of complex production issues. 

• Stable, efficient, and repeatable deployment pipelines. 

• Measurable improvements in system performance and reliability. 

• Strong collaboration across geographically distributed teams. 

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. 

About 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. 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.