Summary
What you’ll impact
Our company is seeking a Distributed Systems / Backend Engineer to design and scale core backend platforms that power real-time energy intelligence for AI data centers. The role involves building high‑performance services, improving reliability and observability, and influencing architectural direction, especially for senior candidates.
Responsibilities
What you'll do
- Designing and scaling systems that interact with real-world energy infrastructure
- Building high-performance services and APIs that power core product workflows
- Tackling hard problems in reliability, data modeling, and system design
- Shipping end-to-end features—from idea to production
- Improving system observability, performance, and fault tolerance
- Partnering closely with product to turn ambiguous problems into shipped solutions
- Drive architecture and technical direction
- Lead ambiguous, high-impact initiatives
- Mentor and elevate other engineers
Requirements
What you’ll bring
- Experience with distributed systems or data-intensive applications
- Experience building and operating backend or infrastructure systems with a focus on reliability, performance, and scalability
- Interest in grid systems, energy orchestration, and applying AI to real-world infrastructure
- Experience working on real-time or near real-time systems
- Comfort operating in ambiguous environments and turning open-ended problems into production systems
- Strong system design skills, including tradeoffs across latency, consistency, and scalability
- Ability to work across the stack when needed to unblock progress