Staff Software Engineer (Platform Engineering)

TL;DR

Staff Software Engineer (Platform Engineering): Build and own AI-powered testing tools and infrastructure, including agent harnesses, evaluation systems, Temporal-based workflows, and telemetry-driven debugging across mobile apps and multi-cloud backend services. Focus on designing scalable backend/distributed systems, improving CI/CD regression detection, and making agent behavior measurable through observability and BigQuery-based evaluation.

Company

hirify.global builds products like hirify.global and AR platforms, and develops internal platforms to help engineers ship reliable software faster.

What you will do

• Build and own agent harnesses and testing infrastructure, including tool design, prompt engineering, context management, and output evaluation for functional and load testing.
• Apply AI-native engineering practices by creating reusable skills, running looped/scheduled agents, building MCP tools, and automating operational work (deploys, log triage, JIRA updates).
• Architect Temporal-based workflows and services to speed up bug/regression detection in CI/CD using async Python, workflow determinism constraints, and typed dataclass-driven design.
• Develop the telemetry and evaluation layer to measure agent behavior, including non-trivial BigQuery SQL and reasoning about mobile telemetry and timestamps.
• Partner across teams to translate product and engineering requirements into scalable platform solutions and advocate for availability, scalability, operational excellence, and cost management.
• Mentor engineers and help drive multi-quarter technical direction for platform and infrastructure capabilities.

Requirements

• 9+ years of software development experience (or 8+ with a Master’s, or 5+ with a PhD) and a technical degree or equivalent practical experience.
• Experience designing, building, and operating backend services or distributed systems at significant scale, including on-call participation and incident response.
• Proven ability to set technical vision and lead complex cross-functional initiatives over multiple quarters.
• Strong system design foundation (APIs, data models, storage, pub/sub, queues, workflow orchestration) plus performance/latency optimization.
• Deep observability experience (metrics, logging, tracing, dashboards) and using data to debug and harden large-scale systems.
• Ability to collaborate effectively with Product, DS, ML, Design, and other engineering teams; strong communication and mentoring skills.

Culture & Benefits

• “Default together” approach: work in an office 4+ days per week.
• Paid parental leave and comprehensive medical coverage.
• Emotional and mental health support programs.
• Compensation packages tied to long-term success; starting pay determined by skills, experience, qualifications, work location, and market conditions.

Hiring process

• Interviews and evaluations focused on technical depth, system design, and cross-functional collaboration.
• Discussion of experience owning mission-critical systems and driving systemic fixes.