Principal Platform Engineer, AI Native SDLC

Location: United States; hybrid role requiring residence in or near a collaboration hub: Costa Mesa, San Jose, Allen, Austin, Franklin, New York, Schaumburg, Washington, D.C., Atlanta, Boston, or Seattle.

Salary: $157,667–$283,801 annually, plus variable pay opportunity and benefits.

Company

hirify.global is a global data and technology company serving markets including financial services, healthcare, automotive, agribusiness, and insurance, with 25,200 people across 32 countries.

What you will do

• Define the reference architecture and capability map for an AI-native SDLC from requirements through deployment and incident response.
• Develop an engineering knowledge subgraph covering services, APIs, standards, architecture decisions, and incident history.
• Build SDLC agents for pull request review, documentation, and rollout risk with evaluation, audit logging, and least-privilege access.
• Design a governed AI marketplace for discovering, contributing, and reusing agents, MCP servers, and skills.
• Use the Model Context Protocol as a replaceable tool interface and partner with security, enterprise AI, cloud, and engineering teams on policy and data classification.
• Measure adoption, productivity, and quality through telemetry, produce architecture decision records, and mentor platform engineers.

Requirements

• 10+ years of software engineering experience, including at least 5 years building developer platforms or internal tooling at enterprise scale.
• 2+ years designing and operating LLM-based or agentic systems in production, including multi-agent orchestration, evaluation, cost control, failure handling, and human approval workflows for consequential actions.
• Hands-on experience designing knowledge graphs or hybrid graph-and-vector retrieval systems, ontology modeling, and data ingestion pipelines.
• Working knowledge of the Model Context Protocol, API design, event-driven integration, OAuth, and workload identity.
• Familiarity with Jira, Confluence, Git platforms, CI/CD, ServiceNow, and OpenTelemetry.
• Understanding of AI governance and security in regulated industries, including data classification for model calls, prompt injection defenses, audit logging, and least privilege.

Nice to have

• Experience with developer portals such as Backstage, InnerSource programs, coding agents such as Claude Code, or measurement frameworks such as DORA and SPACE.

Culture & Benefits

• Hybrid collaboration model with remote, hybrid, or in-office flexibility within the designated U.S. talent markets.
• Medical, dental, vision, and matching 401(k) benefits.
• Flexible time off, including volunteer time off, vacation, sick leave, and 12 paid holidays.
• Inclusive, purpose-driven culture and comprehensive compensation package with a bonus plan.