[Hiring] Principal Platform Engineer @Phizenix

Role Description

• 15+ years in software engineering, platform or infrastructure engineering, or a closely related technical field.
• Deep, hands-on expertise in infrastructure as code at fleet scale (Terraform or OpenTofu with Terragrunt or equivalent):
  • Module architecture
  • Remote state
  • Multi-environment topology
• Demonstrated experience operating multi-tenant Kubernetes platforms in production:
  • GitOps
  • Network and admission policy
  • Workload identity
  • Tenant isolation
• Proven track record building CI/CD as a shared platform (GitHub Actions or equivalent):
  • Reusable workflow contracts
  • Fleet-scale branch protection
  • Enforced quality and security gates
• Strong hands-on command of cloud identity and network security on Azure/AWS/GCP or a comparable hyperscaler:
  • Workload identity federation
  • RBAC
  • Private networking
  • WAF
  • DNS
• Substantive experience with security and compliance as code:
  • Scanning toolchains (Snyk, Checkov, Trivy)
  • Policy engines (OPA, Kyverno, Azure Policy)
  • Supply chain controls (signing, provenance, SBOM)
  • SOC2 / ISO 27001 control evidence
• Production observability with OpenTelemetry or equivalent:
  • Collector topology
  • SLOs and error budgets
  • Alert routing
  • Incident management
  • Fault injection
• Has built and operated production application software as a software engineer, in at least one of Go, Python, or TypeScript:
  • Fluent in testing strategy
  • Code review
  • Trunk-based delivery
  • Release management
• Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders.
• Experience with Agile methodologies and cross-functional product team collaboration.

Qualifications

• Experience building platforms for consulting, advisory, or professional services, including client-isolation and data-residency requirements.
• Familiarity with virtual-cluster and control-plane tooling (vcluster, Crossplane) and developer portals (Backstage, Port).
• Experience operating a platform used by AI coding assistants (Claude Code, GitHub Copilot or similar), including sandboxing of agent tooling.
• Advanced certifications in cloud architecture, Kubernetes, or security (e.g., Azure Solutions Architect, CKA/CKS, CISSP).
• FinOps experience: cost allocation, showback, and cloud cost optimization.
• Demonstrated enthusiasm for developer education — writing internal guides, running workshops, or building internal tooling communities.