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…