---
title: 'Principal Platform Engineer at Phizenix'
canonical: 'https://feeny.ai/job/principal-platform-engineer-phizenix-remote-ft80cyews7qz'
type: 'job'
last_seen: '2026-10-15'
---

# Principal Platform Engineer at Phizenix

- **Company:** Phizenix
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/phizenix/jobs/5452438008

## Job description

This is a hands-on engineering and technical leadership position. You will move fluidly between  building production infrastructure, architecting multi-tenant isolation, designing pipeline and policy enforcement, leading strategic architecture decisions, and mentoring engineers. Your success is measured by what every product inherits: a compounding system that outlasts your direct involvement.

## What You'll Do

Platform Architecture & Infrastructure Engineering

- Drive the platform's architecture and runtime direction, including convergence onto one container-orchestrated runtime, tenancy-grade isolation between client engagements, and the contracts every product inherits.
- Design composable infrastructure as code at fleet scale, with clear input contracts and state boundaries, published as versioned templates and images for every core component.
- Make the environment lifecycle a one-command operation: created by merging a pull request, destroyed by deleting it, with automated proof nothing is left behind.
- Design identity and network as a federated, credential-free system — one identity per engagement, just-in-time audited privileged access, separate internal and external edges.
- Ship telemetry and cost visibility out of the box for every service: standard alerting, service-level objectives on live data, fault injection, and per-engagement cost attribution including AI spend.

Delivery Pipelines, Security & Compliance Engineering

- Drive the shared delivery pipelines every product runs through, and the pluggable gate framework that quality, security, and AI-governance checks plug into with block-on-fail enforcement.
- Implement security and compliance as code: release-blocking scanning on every repository, policy and admission control, signed and attested artifacts, and an audit trail and software bill of materials, including AI components, on every build as SOC2 / ISO 27001 evidence.
- Package the AI-assisted development environment as a versioned, first-class deliverable, and enforce the sandbox boundary for coding agents: default-deny egress, short-lived credentials, isolated shared runners.
- Run the platform as a product measured by developer outcomes — setup time, time to first commit, pipeline duration, gate false-positive rate, adoption — pruning or redesigning controls when governance burden outgrows benefit, and proving every golden path by shipping through it yourself.

Technical Leadership & Stakeholder Influence

- Lead the platform's strategic architecture decisions — multi-tenancy, cloud posture, identity provider, network edge — as evidence-based decision documents with real trade-offs, and own the security and reliability evidence the program reports against.
- Serve as a go-to technical authority on platform architecture and delivery engineering, consulted by senior stakeholders at the design and strategy stages, translating trade-offs and platform risk into actionable guidance, and mentoring engineers and vendor partners with observable improvement in design quality and production readiness.

## What You'll Need

Required

- 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), with reusable workflow contracts, fleet-scale branch protection, and 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), and 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, and is fluent in testing strategy, code review, trunk-based delivery, and 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.

## Preferred / Additional 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.

## About Phizenix

## Company Overview
- **One-liner**: Phizenix provides workforce solutions for the AI era, including top tech talent placement, AI strategy & development, and AI workforce training.
- **Entity Type**: Private (Pre-Seed / Bootstrapped – no public funding rounds disclosed)
- **Headquarters**: Livermore, California, United States
- **Founded**: 2025
- **Founders**: Khursheed Irani

## Core Business
- **Primary industry**: IT Services and IT Consulting, AI Consulting, Workforce Staffing
- **Target customers**: B2B – businesses seeking AI transformation, technical talent, and AI upskilling (mid-market to enterprise)
- **Mission or purpose statement**: “We’re a team of tech founders, operators, and builders on a mission to help businesses thrive in an AI-native world. We believe AI should empower people, not replace them.”

## Products & Services
- **[Talent Staffing]**: Executive recruiting, permanent hire, contract staffing and management for technical roles (e.g., AI/ML engineers, DevOps, firmware engineers).
- **[AI Strategy & Development]**: Consulting to discover automation opportunities, design AI solutions, and build production AI systems.
- **[AI Workforce Training]**: Live workshops and online certification programs to increase teams’ AI skills.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company, no funding rounds disclosed)
- **Key Metric**: Not disclosed (revenue not public). Employees: 12 as of early 2026.
- **Notable Investors/Partners**: No named investors; leadership includes Khursheed Irani (CEO), Raashid Mehasanewala (Head of Solutions), Jumana Ghadiali (VP Operations), Sanjay Dayal (Senior Technology Advisor), Aziz Ghadiali (Head of AI and Marketing).
- **Growth Signals**: Headcount growth of +7.7% monthly (LinkedIn estimate); active job postings on Greenhouse (3 open roles as of 2026); LinkedIn follower count 3,587 with +3.9% monthly growth.

## Competitive Advantages
- **AI-native focus**: Entire business model centered on AI transformation, not a general staffing firm.
- **Silicon Valley presence**: HQ in Livermore, CA, with additional presence in India and Canada, allowing access to diverse talent pools.
- **Experienced leadership team**: Founders and VPs bring 20+ years of combined experience in tech, operations, and AI.

## Strategic Focus
- **Current priorities**: Expand AI consulting engagements, scale talent staffing pipeline, and grow the training certification arm. Emphasis on “AI-native future of work” – helping companies integrate AI alongside human teams rather than replacing them.

## Why Work Here
- **Culture**: Small, mission-driven team focused on AI empowerment. Emphasis on “AI should empower people, not replace them.”
- **Remote/Hybrid/Office**: Many roles are remote; some are hybrid in San Francisco/Bay Area (e.g., Director of Engineering – Shopify & ERP). Offices in Livermore, CA and Bengaluru, India.
- **Notable perks/engineering culture**: Opportunity to work at the intersection of AI and business transformation; hands-on involvement in building AI solutions for clients; growth potential in a young, rapidly expanding company.

## Sources
1. [phizenix.com](https://www.phizenix.com/)
2. [phizenix.com/careers](https://www.phizenix.com/careers)
3. [phizenix.com/about](https://www.phizenix.com/about)
4. [LinkedIn/Phizenix](https://www.linkedin.com/company/phizenix)
5. [Greenhouse/Phizenix](https://job-boards.greenhouse.io/phizenix/jobs/5197144008)

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