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

  • Drive platform architecture and runtime strategy, including container orchestration, multi-tenant isolation, and shared product contracts.
  • Design fleet-scale infrastructure as code with reusable modules, defined state boundaries, versioned templates, and standardized images.
  • Automate environment creation and destruction through pull-request workflows with verification that resources are fully removed.
  • Build federated identity and network security systems with engagement-specific identities, audited privileged access, and separated internal and external edges.
  • Provide standardized observability, SLOs, alerting, fault injection, and per-engagement cost attribution, including AI spend.
  • Own shared CI/CD pipelines and pluggable quality, security, and AI-governance gates with block-on-failure enforcement.
  • Implement security and compliance as code, including scanning, policy enforcement, artifact signing, provenance, SBOMs, and audit evidence.
  • Package and secure AI-assisted development environments with default-deny egress, short-lived credentials, and isolated runners.
  • Measure and improve developer platform outcomes such as setup time, pipeline duration, adoption, and gate false-positive rates.
  • Lead architecture decisions, communicate trade-offs to stakeholders, mentor engineers and vendors, and provide security and reliability evidence.

Requirements

  • 15+ years of experience in software engineering, platform engineering, infrastructure engineering, or a related field.
  • Deep hands-on expertise with fleet-scale infrastructure as code, including 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 workflows, branch protection, and enforced quality and security gates.
  • Strong cloud identity and network security experience on Azure, AWS, GCP, or a comparable hyperscaler, including federation, RBAC, private networking, WAF, and DNS.
  • Experience with security and compliance as code, including Snyk, Checkov, Trivy, OPA, Kyverno, Azure Policy, signing, provenance, SBOMs, SOC 2, and ISO 27001 evidence.
  • Production observability experience with OpenTelemetry or equivalent, including collector topology, SLOs, error budgets, alert routing, incident management, and fault injection.
  • Production software engineering experience in Go, Python, or TypeScript, including testing, code review, trunk-based development, and release management.
  • Excellent written and verbal English communication skills, including communication with executive stakeholders; experience with Agile and cross-functional collaboration.
  • Preferred: professional-services platforms, vcluster, Crossplane, Backstage, Port, AI coding-agent sandboxing, cloud/Kubernetes/security certifications, FinOps, and developer education.

Interested in this position?

Apply directly on the company website

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