Software Engineer, Distributed Systems

About the role

Location: San Francisco, CA (Remote/Hybrid Available)

What is Verse?

The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI.

At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.

The Role

As a Software Engineer focusing on Distributed Systems at Verse, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. You will be a part of a dynamic, robust team primarily supporting the backend needs of our Aria software product spanning hundreds of data sources, sinks, services, and jobs.

Your expertise will not only have a direct impact on product decisions, but you also be well-positioned to drive the development and trajectory of our entire platform and infrastructure and influence important architectural decisions that affect the whole organization.

Key Responsibilities

- Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders

- Read and write a lot of Go, Python, and Protobuf

- Build, test, debug, maintain, and scale our ecosystem of backend services and APIs with hyper-precise data structure alignment

- Design, implement, and coordinate critical application interface and database model changes, migrate and evolve schemas, and scale queries for multiple product work streams

- Interoperate with various storage and retrieval systems for both structured and unstructured data sets across the entire stack

- Troubleshoot and enhance system performance, reliability, and security to meet the evolving needs of the business

- Collaborate closely with product managers, UX designers, and frontend engineers to vet user requirements and data provenance with an end-to-end mindset

- Work on occasion in the platform and infrastructure layers to develop deployment automation, observability, monitoring, and alerting tools

What We're Looking For (Minimum Qualifications)

- Fluency with Python or Go language runtimes, build tools, and library ecosystems