Overview Camus

Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability.

As electricity demand accelerates and clean energy scales, traditional interconnection processes are becoming the bottleneck. Utilities and developers face growing queues, long timelines, and costly upgrades that slow progress across the grid.

Camus enables flexible grid connections that allow new load and generation to connect sooner by planning for and operating within real system constraints. Our platform bridges the gap between grid operators and large load developers, providing a view of time-varying grid capacity for any given new interconnection point.

We combine high-reliability software experience from companies like Google and Meta with deep power systems expertise across the utility sector. If you’re excited to work at the intersection of infrastructure, software, and climate, we’d love to hear from you.

Role Overview

We're looking for anInfrastructure Software Engineer to sit at the intersection of software development and site reliability. Our software stack is cloud-native, built on active collaboration with popular open source technologies from developer tooling through production. You'll spend roughly half your time writing production code for product platform and core systems infrastructure and the other half driving reliability, observability, and operational health of these systems with the rest of the engineering team.

On the software side, you'll contribute to the full backend of our product — building and shipping features while also helping to define and build the platform and infrastructure layers those features run on. That means writing production-quality services and APIs and thinking carefully about what it means for a system to be maintainable, observable, and operable at scale. You'll bring an infrastructure-aware perspective to product development, helping the team build things that are designed to run well in production from the start. On the reliability side, you'll take the lead on how we build, deploy, monitor, and alert on our systems — but this isn't a sole-ownership role. You'll work alongside the broader engineering team, building the culture and practices around reliability as much as the tooling itself. That means driving postmortems and remediations collaboratively, establishing the frameworks that help everyone participate meaningfully in on-call and incident response, and closing the loop by improving internal tooling and systems.

Our platform sits at the heart of how utilities and energy providers manage an increasingly complex grid. The systems you build and operate need to be fast, correct, and available — grid operators make real-time decisions based on the data and interfaces we provide, and reliability has consequences that extend well beyond our codebase. We take that responsibility seriously, and we want someone who does too.

What You'll Do

Design and build backend services, APIs, and platform infrastructure that power our platform
Contribute to product features end to end — from backend logic and data pipelines to the deployment and operational scaffolding that ships them reliably
Lead the development of our observability stack — metrics, logging, and alerting — and establish the practices that keep the whole team engaged in production health
Own and evolve our CI/CD pipelines, deployment tooling, and release processes to make shipping software faster and safer
Drive incident response and postmortems collaboratively, and follow through by building the automation and tooling that closes the loop on recurring issues

What you’ll bring

Minimum 3 years of experience in a software engineering role with a strong infrastructure or platform focus
Experience working with Python 3 — you're comfortable owning backend services and APIs end to end, not just writing scripts
Hands-on experience with Kubernetes and GCP (or comparable cloud), ideally in production environments
Experience working with CI/CD pipelines
Familiarity with observability tooling such as Prometheus and Grafana, and an instinct for what good monitoring looks like
A collaborative approach to reliability — you know how to bring a team along, not just fix things yourself

Nice to have

Experience with energy, utilities, or other regulated/critical infrastructure domains
Familiarity with the Bazel build tool
Familiarity with Go, Node.js and Python packaging
Experience with SQL, databases or data warehouses

What We Offer

Competitive base salary
Comprehensive benefits, including FSA and 401k for full time employees
Fully remote workplace with options for in office work in the Bay Area
Flexible PTO, which we encourage you to use!
A real impact on climate change - we’re building the world we want to live in and we want you to join us!

The expected base salary for this role is $180,000 - $230,000 annually, depending on experience, skills, and qualifications.

Camus remote jobs

Machine Learning Software Engineer

Power Systems Software Engineer

Infrastructure Software Engineer