Senior Software Engineer - GCP Hosted Control Planes

New
Ireland or CzechiaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
GCPKubernetesGoCI/CD

Requirements

  • Extensive software engineering experience with strong proficiency in Go
  • Deep expertise in Kubernetes internals, including controller/operator patterns, API server architecture, and cluster lifecycle management
  • Demonstrated experience making architectural decisions for large-scale distributed systems in production
  • Experience with at least one major public cloud platform (GCP preferred), including compute, networking, identity, and managed services
  • Track record of defining and enforcing architectural standards, coding conventions, or structural constraints across a multi-engineer codebase
  • Strong written communication skills for creating technical documentation and agent-readable context
  • Experience or demonstrated aptitude with AI-assisted development workflows and AI-agent system design
  • Ability to lead and influence without direct authority across organizational boundaries

Responsibilities

  • Lead the design of the GCP HCP platform architecture, including multi-region scalability, multi-tenancy and isolation, automated lifecycle management, and operational resilience.
  • Design and evolve the team's harness engineering infrastructure: the system of architectural constraints, custom linters, structural tests, CI gates, and feedback loops.
  • Define and maintain the team's documentation architecture to serve as the source of truth for both agents and engineers.
  • Decompose complex system goals into well-bounded building blocks suitable for agent-driven implementation.
  • Identify and address architectural drift, entropy, and emergent quality issues across an agent-maintained codebase.
  • Lead architectural discussions across the HyperShift project, Cluster API communities, and GCP platform integrations.
  • Mentor senior engineers in harness engineering practices and critical review skills for agent output.
  • Define quality bars, test strategies, and operational readiness criteria for agent-produced features.
  • Serve as an escalation point for complex customer issues and production incidents.
  • Participate in on-call rotations to support production managed services.
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