
Backend Engineer
On-site
Fresh
Engineering
Compensation
$180,000-$250,000Description
What We're Looking For
We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.
This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
What You’ll Do
- Write readable/testable/efficient code in Go (Golang).
- Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.
What You’ll Need
- Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
- Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
- Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
- Proven ability to take ownership of key features and drive end-to-end development
- Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
- Hands-on experience as a backend or product engineer in a SaaS technology company
- Communication and collaboration with engineers, product managers, and designers
- Ability to operate in high uncertainty and rapidly changing environments
Compensation
Stack
GoAWSGCPAzureMachine LearningKubernetesDocker
- Posted
- Sep 13, 2023
- Last seen
- Jun 26, 2026
- First seen
- Jun 26, 2026
- Status
- active