PHIZENIX

PHIZENIX

PHIZENIX is a Silicon Valley-based talent solutions company that specializes in AI consulting services, tech talent acquisition, and AI workforce training. The company aims to empower organizations by connecting them with exceptional talent and consulting solutions, enabling AI to work alongside people. With a team of tech founders and operators, PHIZENIX offers comprehensive support for businesses on their AI transformation journey. Their services include designing and implementing AI solutions, connecting companies with skilled technology professionals, and providing training programs to enhance workforce capabilities. The company focuses on cultural fit in talent deployment and offers corporate training to help teams integrate AI into their daily operations. PHIZENIX primarily serves businesses looking to hire top talent, deploy AI, transform workflows, and train employees in using AI tools effectively. The company has approximately 50–100 employees and has received support from investors like i3 Ventures.

information technology & services
11-50
Founded 2025

Description

  • Build and operate a container-orchestrated runtime with tenant isolation and reusable module contracts.
  • Design fleet-scale infrastructure-as-code modules, templates, images, state boundaries, and input contracts.
  • Automate environment creation and teardown through pull-request workflows with cleanup verification.
  • Implement federated identity, credential-free access, privileged access auditing, and segmented network edges.
  • Provide standardized observability, SLOs, alerting, fault injection, and per-engagement cost attribution.
  • Build shared CI/CD pipelines and extensible quality, security, and AI-governance gates with block-on-fail enforcement.
  • Implement security and compliance as code, including scanning, policy controls, signed artifacts, provenance, SBOMs, and audit evidence.
  • Package and secure AI-assisted development environments with default-deny egress, short-lived credentials, and isolated runners.
  • Measure platform adoption and developer outcomes, improving or removing controls based on their effectiveness.
  • Lead architecture proofs of concept, document decisions, review designs and code, support migrations, and drive platform standard adoption.

Requirements

  • 10+ years of experience in software, platform, infrastructure engineering, or a related field.
  • Hands-on fleet-scale infrastructure-as-code experience with Terraform or OpenTofu, Terragrunt or equivalent, module architecture, remote state, and multi-environment topology.
  • Production experience operating multi-tenant Kubernetes platforms with GitOps, network and admission policies, workload identity, and tenant isolation.
  • Experience building shared CI/CD platforms using GitHub Actions or equivalent, reusable workflow contracts, branch protection, and enforced gates.
  • Strong cloud identity and network security experience across Azure, AWS, GCP, or a comparable hyperscaler.
  • Experience with security and compliance as code, including Snyk, Checkov, Trivy, OPA, Kyverno, Azure Policy, signing, provenance, SBOMs, SOC 2, or ISO 27001 evidence.
  • Production observability experience with OpenTelemetry or equivalent, including collectors, SLOs, error budgets, alerting, incidents, and fault injection.
  • Production software engineering experience in Go, Python, or TypeScript, including testing, code review, trunk-based development, and release management.
  • Excellent English communication skills and experience explaining technical topics to technical and non-technical stakeholders.
  • Agile and cross-functional product collaboration experience; consulting platforms, AI coding assistants, vcluster, Crossplane, Backstage, Port, cloud/Kubernetes/security certifications, FinOps, or developer education experience preferred.

Interested in this position?

Apply directly on the company website

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