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Form Energy is a climate tech company revolutionizing energy storage with cost-effective, multi-day iron-air battery systems. The company has been recognized by TIME, MIT Technology Review, and Fast Company, and is scaling manufacturing operations across the United States.
You will join the Engineering Automation & AI Toolchain team, which builds the internal developer platform (Formation, Patina, and Manifold). As Staff DevOps Engineer, you will own Day-2 operations and infrastructure scaling challenges as the company grows.
Key responsibilities include:
- Lead migrations from legacy infrastructure to modern platforms, designing migration strategy including sequencing, cutover, rollback, and validation
- Minimize disruption to dependent teams and establish repeatable migration patterns
- Extend the platform to new teams and toolchains, defining integration patterns
- Design Day-2 operations for capacity, upgrades, and lifecycle management at scale
- Build auditing systems for configuration drift, dependency currency, and secret/certificate lifecycle
- Maintain and review Infrastructure-as-Code, pipeline, and configuration standards
- Design monitoring, alerting, and SLOs with internal customers
- Lead complex incident response and drive postmortems to structural fixes
- Build automation and agent workflows with appropriate guardrails
- Codify expertise into runbooks and tooling for others
- Provide technical leadership on design reviews and platform initiatives
- Mentor junior engineers and delegate effectively
- Partner with IT, Security, Data, and operations teams
- Write design docs, decision records, and standards
- Implement security and compliance controls with automated audit evidence
- Model and forecast cloud cost and capacity
Relocation assistance is available.
REQUIREMENTS:
- 7–10 years of related experience in infrastructure, DevOps, SRE, or platform engineering
- Demonstrated experience migrating production systems off legacy infrastructure onto new platforms (sequencing, coexistence, cutover, rollback) without disrupting dependent teams
- Wide-ranging hands-on depth across AWS, Kubernetes, and Infrastructure-as-Code; demonstrated ability to resolve complex infrastructure problems requiring in-depth evaluation of competing factors
- Demonstrated experience operating and scaling CI/CD and GitOps delivery systems, including leading incident response in complex multi-system environments and converting failures into structural fixes
- Demonstrated experience leading technical work through others—directing engineers on initiatives, mentoring, and driving design reviews—and working effectively with partners outside your area of expertise
- Sufficient depth to supervise AI-generated work: ability to distinguish correct from merely plausible infrastructure code and operational output, and knowledge of which shortcuts are safe to take
