Summary
What you’ll impact
The organization 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