Gradial
Principal Platform Engineer
Seattle, WA · Principal
Sponsorship not specifiedDetected 6 days ago
TypeScriptPythonCloud PlatformsKubernetesCI/CDDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningIncident ResponseLeadershipProblem Solving
About the role
- As a Principal Platform Engineer at Gradial, you will shape the foundation our platform runs on as we scale.
- You will work closely with the CTO and engineering team to make our systems faster, more resilient, and easier to operate in a high-growth environment.
- This is a hands-on individual contributor leadership role for someone who wants real ownership, high leverage, and the opportunity to define how platform reliability looks at an AI-native company.
Responsibilities
- Set the standard for how we design, ship, and operate reliable systems.
- Build the tooling and automation that help engineers move faster with more confidence.
- Drive improvements in monitoring, alerting, incident response, and service readiness.
- Partner with engineering to identify scaling risks early and solve them before they slow us down.
- A front-row seat to building category-defining AI infrastructure
- Have an innate drive for being 1% better than the day before, building towards greatness.
- Thrive in fast-paced, hyper-growth environments where building better > maintaining status quo.
Requirements
- 5+ years of experience in platform engineering, infrastructure, SRE, DevOps, or related roles with direct ownership of production systems.
- Proven success designing and operating production-grade infrastructure in fast-moving, high-growth environments.
- Deep expertise in Kubernetes, cloud-native architecture, and container orchestration.
- Strong experience with infrastructure as code, GitOps, CI/CD workflows, and modern deployment practices.
- A track record of leading through influence, making sound technical decisions, and raising the bar across engineering teams.
Nice to have
- Familiarity with AI or ML infrastructure, including GPU provisioning, model deployment, or compute-intensive workloads.
- Experience supporting cloud or multi-cloud environments with a focus on resilience and scale.
- Comfort with TypeScript or Python for internal tooling and operational automation.
- Fast-paced environment with flexibility and ownership
- Real impact, zero bureaucracy
- Learn quickly, actively seek out new challenges, and regularly reconsider "how it's always been done."
- Embrace AI as a core tool for problem-solving, innovation, and scale.
- Show customer-obsession (internal or external), high ownership/accountability, and bias for action.
Compensation
- Competitive salary and meaningful equity
Benefits
- Competitive salary and meaningful equity
- Comprehensive health, dental and vision coverage
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This listing is sourced directly from Gradial's careers page and normalized into a canonical job model.