Senior Software Engineer, Infrastructure

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 start out fully covered and improved it. Real depth in monitoring and observability , and not only as a consumer of one managed vendor. You instrument systems thoughtfully, define metrics, alerts, and dashboards as code, and can introduce distributed tracing where none exists. Comfort operating the open-source stack (Prometheus, Grafana, and log and search clusters such as Elasticsearch or OpenSearch) matters here: capacity, retention, index lifecycle, and upgrades, not just querying it. Hands-on operational experience with stateful systems : relational databases, message brokers, or both. You have done a version upgrade, a replication change, or a restore under pressure and know why backups you have not tested do not count. Comfort operating and improving systems you did not build. Some of our most important work involves reading unfamiliar code, mapping undocumented dependencies, and making careful changes to systems whose original authors are not available to ask. You communicate clearly, write good documentation, mentor teammates, and can drive cross-team coordination on shared infrastructure. You are genuinely excited about AI-assisted development and the role of AI in modern infrastructure. You either use these tools today (Claude Code, MCP, agents) or are eager to, and you want to help build the platform that supports them safely.

Nice to Have
Experience with the HashiCorp stack (Nomad, Consul, Vault). Experience introducing Kubernetes to an organization that did not already run it, or operating it alongside another scheduler. Experience running self-hosted CI and build tooling (Jenkins, ArgoCD, artifact repositories). Experience with OpenTelemetry, or with consolidating several overlapping monitoring tools into one coherent stack. Experience testing event-driven workflows, and with managed streaming platforms such as MSK. Experience with AWS Organizations and Control Tower, service control policies, or leading an account restructuring or consolidation. Experience owning an identity migration or SSO consolidation (Auth0, Okta, Cognito, Keycloak, or similar). Experience building internal developer tooling or CLIs, and improving parity between local, dev, and production environments. Ability to read Java or C++ well enough to debug and modify services in those languages, even if you would not choose to write them. Hands-on experience with AI developer tooling (Claude Code, MCP servers, agent workflows) or with running model infrastructure (e.g. AWS Bedrock). Interest in the energy industry and the clean energy transition.

**Please include a link to your GitHub account in your application (in the “links” section). Applications without a GitHub account will not be considered**
 
Please note that at this time, we do not sponsor visas or transfers for new hires. Voltus teammates need to be authorized to work from their home location (in the US or Canada, unless otherwise indicated on the role description).
 
Additionally, while Voltus is an all-remote workplace, we have limitations on where employees are able to work for regulatory and security reasons. We expect that Voltans are working primarily from their home country. Working while traveling to other countries must be approved as per our Global Remote Travel Policy.
 
At Voltus, we are proud to be an equal opportunity employer because we recognize that a diverse organization begins with a diverse candidate pool. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, age, sexual orientation, veteran status, disability status, or marital status.