Senior DevOps Engineer

Senior DevOps Engineers own the infrastructure, automation, and deployment systems that keep Point One's services running reliably at scale - from the cloud and on-premise environments to the CI/CD pipelines and observability stack that the entire engineering team depends on.

This is an ownership-first role: you will build and operate the infrastructure that serves real-time corrections to hundreds of thousands of devices in the field, spanning cloud and bare-metal environments, with the availability and repeatability that mission-critical positioning demands.

The infrastructure you own is the foundation every other team builds on. This role is responsible for keeping it automated, observable, secure, and scalable: provisioning and managing environments as code, hardening deployment pipelines, and ensuring the network stays healthy as new regions, reference stations, and customers come online.

- Infrastructure is provisioned, configured, and managed as code - reproducible, version-controlled, and easy to evolve.

- Deployments are automated, safe, and fast, giving engineers confidence to ship frequently.

- Services run reliably across all hosted environments, even under load and partial failure.

- Observability is comprehensive - the team catches and resolves issues before customers feel them.

- Infrastructure decisions reflect a deep understanding of real-world constraints - reliability, scale, security, and cost.

- Engineers across the company are unblocked by self-service tooling, clear processes, and well-maintained environments.

- Provision and manage cloud, on-premise, and bare-metal infrastructure using Terraform and SaltStack configuration management.

- Build reproducible, version-controlled environments that are easy to stand up, evolve, and tear down.

- Ensure infrastructure is well-structured, documented, and built to last as the product and customer base grow.

- Design, build, and maintain CI/CD pipelines (GitHub Actions, Jenkins) that make shipping fast, safe, and repeatable.

- Containerize services with Docker and orchestrate them with Kubernetes across environments.

- Drive improvements in build, test, and release workflows so engineers can deliver with confidence.

- Standardize deployment patterns and reduce toil through tooling and automation.

- Own observability - metrics, logging, tracing, and alerting (Prometheus, Grafana) - so issues are caught and resolved before customers feel them.

- Design for high availability, graceful degradation, and recovery across cloud and on-premise environments.

- Identify and resolve infrastructure bottlenecks and reliability risks early, particularly as traffic and scale grow.

- Participate in on-call rotation and lead incident response, drive root-cause analysis, and follow through on durable fixes.

- Build self-service tooling and clear processes that unblock engineers and reduce friction.

- Collaborate with backend, embedded, firmware, and customer-facing teams to deliver reliable end-to-end systems.

- Surface infrastructure risks and tradeoffs early so architecture and delivery decisions reflect real-world constraints.

- Follow security and access-management best practices across infrastructure, secrets, and deployment pipelines.

- Proven professional experience (5+ years) in DevOps, SRE, infrastructure, or platform engineering.

- Proven ability to provision and operate production infrastructure - from setup through deployment and on-call ownership.

- Strong experience with infrastructure-as-code (Terraform).

- Experience with containers (Docker) and orchestration (Kubernetes) in production.

- Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions).

- Experience with observability and monitoring tooling (e.g., Prometheus, Grafana).

- Comfortable scripting and automating in any general-purpose language.

- Solid understanding of networking, Linux systems, and security fundamentals.

- Experience with programming languages (Go, Java, Python, Node).

- Experience operating hybrid cloud and on-premise / bare-metal fleets at scale.

- Experience with distributed and clustered data stores (e.g., ScyllaDB, PostgreSQL)

- Experience with security and compliance frameworks (e.g., SOC 2).