The Role
Build scalable, resilient backend microservices in Go; design gRPC/REST APIs; containerize with Docker; deploy and manage services on Kubernetes; implement asynchronous messaging (NATS/RabbitMQ); work with PostgreSQL; drive CI/CD, testing, code reviews, and documentation for greenfield robotics orchestration systems.
Summary Generated by Built In
At Kerrigan Robotics, we aren’t just adding more "iron" to the factory floor; we’re building the intelligence that brings it all to life. As an AI-powered, robot-agnostic orchestration platform, we bridge the gap between high-level software and complex physical hardware, harmonizing everything from humanoids and drones to legacy ERP and WMS systems. Our team’s pedigree is rooted in scaling the impossible, having first proven our mettle at Tesla by scaling $5B worth of equipment and thousands of robots globally before achieving seamless multi-branded integration for Rivian’s fleet and lineside controls. While the rest of the industry focuses on building individual robots, we are operationalizing heterogeneous automation at scale slashing production ramp-up times by 70% and making enterprise level expansion feel effortless. If you’re ready to turn fragmented data into harmonious communication and help make the future of manufacturing simpler, more reliable, and truly unified, your next challenge starts here.
The Role
We are looking for a Generalist Backend Engineer who thrives on building scalable, resilient
distributed systems. In this role, you won’t just be “writing APIs”; you will be building the
backbone of an automation platform that manages high-stakes robotics workloads. You are a
pragmatic coder who values containerization, orchestration, and clean system design.
Key Responsibilities
● Service Development: Design and implement performant microservices in Golang.
● Orchestration: Deploy and manage services within Kubernetes, ensuring high availability
and proper resource management.
● System Integrity: Utilize Docker for consistent environment packaging and NATS or
similar for asynchronous messaging.
● API Design: Build clean, versioned APIs (gRPC/REST) that serve both our frontend and
external integration partners.
● Maintainability: Actively participate in code reviews and contribute to a culture of
automated testing and documentation.
Requirements
● 5+ years of experience in backend development with a focus on distributed systems.
● Core Stack: Professional experience with Go (Golang) in a production environment.
● Cloud Native: Strong proficiency with Docker and Kubernetes.
● Infrastructure Mindset: Familiarity with modern databases (PostgreSQL) and message
brokers (NATS, RabbitMQ).
● Tooling: Experience with CI/CD pipelines and Git-based workflows.
What This Role Is Not
● This is not a frontend or full-stack role; the focus is 100% on backend systems and
infrastructure.
● This is not a "maintenance-only" role; you will be building new greenfield services.
The base pay range for this role is $140,000 – $205,000 per year.
Skills Required
- 5+ years of experience in backend development with a focus on distributed systems
- Professional experience with Go (Golang) in a production environment
- Strong proficiency with Docker and Kubernetes
- Familiarity with modern databases (PostgreSQL)
- Experience with message brokers (NATS, RabbitMQ)
- Experience designing and implementing microservices and versioned APIs (gRPC/REST)
- Experience with CI/CD pipelines and Git-based workflows
- Participation in code reviews and maintaining automated tests and documentation
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Kerrigan Robotics develops an AI-powered, robot‑agnostic orchestration platform that unifies and controls heterogeneous factory robots and automation systems (AGVs/AMRs/tuggers/forklifts/drones) and integrates with MES/WMS/ERP. Their software minimizes custom programming, speeds deployments from months to weeks, and provides intelligent coordination, monitoring and data infrastructure for manufacturing, logistics and automotive operations.
.png)
