Senior Software Engineer, Infrastructure

Job description

About Voltus Voltus is a leading company for Distributed Energy Resources (DERs). Our mission is to be the platform that fulfills the promise of the energy transition. The Voltus platform connects any DER to any energy market across the US and Canada, providing flexibility, reliability, and resilience to the grid while generating revenue for our partners. We hire teammates who are bright, gritty, and good and who have a genuine passion for delivering a cleaner energy future and for working in a fast-paced, entrepreneurial environment. We are a remote and virtual company, distributed across US, Canada, and abroad. The Role Voltus is hiring for multiple roles at the senior level on several teams. As a Senior Engineer you will find a home on one of these teams and assume a technical leadership role in our backend solutions and front end technologies where appropriate to the team. You'll join a fully remote team tackling complex energy industry challenges, collaborating with experienced engineers on our modern tech stack, and contributing to core systems that decarbonize the grid. Your work will involve building core backend logic, APIs, designing data pipelines, or creating customer interfaces. A strong candidate can speak to their alignment with our core values of bright, gritty, and good, and you want to work with others like you in a highly collaborative environment. Technologies We Use We build scalable software using Python, Postgres, Go, FastAPI, Temporal, Delta Lake, Clickhouse, Typescript, and React, running our services using Docker and the HashiCorp stack on AWS. We do not expect candidates to have a background in every tool listed here; instead, we place a high value on strong foundational programming skills and a genuine eagerness to learn and grow. Successful candidates can demonstrate significant depth in some of core technologies. What You'll Do Own core Platform services and major migrations end to end , from proposal to production. Our team regularly leads multi-month migrations of stateful, business-critical systems with no customer-visible downtime. Run our containerized workloads and the delivery path that ships them — orchestration and scheduling, GitOps-style deploys, progressive rollout and rollback, and service mesh. Bring Kubernetes practice to a team that runs Nomad today, and help us decide what belongs where rather than adopting a second scheduler for its own sake. Architect and operate our AWS foundation. Multi-account structure and governance, IAM and cross-account access, VPC and Transit Gateway, PrivateLink, DNS and certificates, and the egress paths our dispatch traffic reaches grid operators over. On those paths, a changed address or an expired certificate is a market outage. Treat identity, secrets, and encryption as first-class infrastructure — workload identity, least privilege, SSO and OIDC, machine-to-machine credentials, Vault, and key ownership and rotation. As we open more of production to cloud and AI access, you make sure every human and workload has exactly the access it needs and no more. Operate the stateful systems everything else sits on : database upgrades and replication, message brokers in the critical path, caches and time-series stores, and the unglamorous part — backup coverage and restores you have actually tested. Instrument deeply for observability. Distributed tracing, meaningful metrics and SLOs, and the testing frameworks that keep dispatch comms and market message flows healthy. Where monitoring has sprawled into overlapping tools with alerts that live only in a UI, consolidate it into something defined in code that an on-call engineer can actually reason about under pressure. Build the infrastructure as code and developer tooling the whole org depends on , using Terraform, GitHub, Buildkite, Docker, Nomad, and our internal tools. That includes bringing older infrastructure under code: importing what was built by hand, detecting drift, and making what is in code match what is actually running. Help build the infrastructure that AI runs on. AI-assisted development is central to where we are going: you will build the guardrails that let engineers and AI tools reach internal systems securely, and use those tools yourself to move faster and to understand and document large systems quickly. What We're Looking For Strong production software development experience in Go and/or Python. You build and maintain real services and tooling, write tests, and care about code quality, not just scripts. Roughly 6+ years of professional software engineering , with several in DevOps / SRE operating production systems. You have owned deployments and been on the hook for reliability and on-call. A track record of owning meaningful infrastructure projects end to end , ideally including a migration of a stateful or business-critical system with minimal disruption. You plan around operational windows, sequence work so each step has a rollback, and would rather phase a migration over weeks than take one clever shortcut. Real depth in AWS , beyond launching resources in a single account. You have worked with multi-account organizations, IAM and cross-account access, VPC and network design, DNS, secrets management, and encryption key management, and you understand how those pieces constrain each other. You know the difference between provisioning and configuration management, and you default to least privilege. Deep, hands-on Kubernetes experience in production. You have operated real clusters, not just deployed to someone else's: upgrades, networking and ingress, RBAC, resource management and autoscaling, and debugging a workload that is misbehaving under load. EKS and the surrounding ecosystem (ArgoCD or Flux, Helm, operators, multi-tenant clusters) is a strong plus. This is the clearest gap on our team and a large part of why we are opening this role. Strong infrastructure-as-code skills (Terraform or similar). You have worked in a codebase that did not