Backend Engineer
Build scalable backend systems in Go for a SaaS product, partnering with product leaders to deliver features, improve performance, and mentor engineers. Requires extensive Go experience, cloud platforms, and end-to-end ownership in high-uncertainty environments.
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
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