Senior Platform Engineer (People Systems)

Quick Facts

• Role: Senior Platform Engineer (People Systems)

Description

Build and evolve a People Systems platform where configuration defines system behavior at runtime (versioned data models, rules, workflows, permissions, screens, and reports). Make architecture decisions that balance fast delivery with long-term platform health, and deliver scalable, secure, resilient systems. Work with product managers and cross-functional engineering teams to understand problems deeply and ship simplicity in complex environments.

Responsibilities

• Define and shape the technical strategy for People Systems platform capabilities

• Build a platform that coordinates hundreds of components as one system

• Create scalable, secure, resilient by design platform systems

• Partner with product managers and engineering teams to solve problems from first principles (“why” before “how”)

• Ship configurable features without waiting for release cycles

Requirements

• 8+ years proven experience developing software professionally (longer experience strongly preferred)

• 6+ years proven experience with Java or Kotlin, including mastery in concurrency, memory management, and performance optimization

• 8+ years proven mastery of OOP principles, data structures, algorithms, and software design patterns (e.g., GoF), with a focus on testable, maintainable, extensible backend code

• 6+ years proven experience with at least one modern frontend stack (e.g., React/Next.js)

• LLM feature development experience using TypeScript, Python, and JavaScript

• BS in Computer Science, Computer Engineering, or related technical field, or equivalent professional work experience

Benefits

• Opportunity to engineer configuration-driven platform capabilities with runtime interpretation to enable faster change by users closest to the problem

• Build systems at global scale with a strong emphasis on security, resiliency, and long-term platform health

Note: Preferred qualifications in the posting include leading across distributed teams as a tech lead and hands-on experience with GenAI coding tools (e.g., Claude, Copilot, Codex).