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Principal Engineer, Platform Engineering

United States, Washington, Redmond💼 Full-time🗓 2026-07-08 → 2026-07-15

Core

Designing and operating platform capabilities, agent tooling, and golden paths to reduce developer pain points and ensure reliable, observable production systems.

Role type

Principal Engineer, Platform Engineering (AI-native)

Builds

Agent and codegen tooling, identity/secrets/observability/CI/CD foundations, and shared platform capabilities for multiple teams.

Domain

Cloud-native platform engineering with Generative AI and Agents

Deliverable

production ML models | infrastructure

Required skills

Generative AI and agents for production software, Identity management, Secrets and configuration management, Observability, CI/CD and safe deployment, Cloud-native architecture, C#/.NET, TypeScript, Python, C++, Java, JavaScript

Preferred skills

Azure, Modern .NET stacks, Internal developer platforms, Paved roads, Cloud infrastructure at scale

Responsibilities

Design capability areas and agent workstreams, Build and operate agent/codegen tooling, Own production systems including on-call, Mentor engineers, Maintain platform reliability and performance

Seniority

Principal, hands-on IC with strategy & mentorship

Rewrite
## About the role - Work with platform and product teams to turn developer pain points into golden paths, templates, and shared capabilities they'll adopt. - Lead the design of a capability area or agent workstream that several teams depend on: the dependencies, the interfaces, the design docs, and maintainable code others build on. - Build and operate the agent and codegen tooling that wires new and existing services onto the foundation (identity, secrets, observability, safe deployment) by default. - Own what you ship in production, including on-call. - Watch for regressions, config drift, and integration failures, and fix them. - Keep raising availability, reliability, observability, and performance, and bring what you learn back to the team. - Mentor other engineers and hold the "platform as a product" bar. ## Requirements - Strong engineering fundamentals, with production systems you've built and run at scale. - AI-native. You've shipped real production software built with generative AI and agents (not just demos), and you have the judgment to direct them. - Depth in one of identity, secrets and config, observability, or CI/CD and safe deployment, plus working knowledge of the others. - Cloud-native experience (Azure a plus) and fluency in one or more of C#/.NET, TypeScript, or Python. - A bias for action and comfort owning things end to end when the path isn't defined yet. - Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python — OR equivalent experience. - Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience, OR Bachelor's Degree AND 10+ years — OR equivalent experience. - Deep experience in one or more of identity, secrets/config, observability, or CI/CD and safe deployment. - Azure and modern .NET, or comparable cloud-native stacks. - Hands-on experience using generative AI and agents to build production software. - Experience building internal developer platforms, paved roads, CI/CD systems, or cloud infrastructure at scale. ## Nice to have - Azure and modern .NET, or comparable cloud-native stacks. ## What we offer - (No content provided in the original text) ## About us - (No content provided in the original text)
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