Director, Platform Engineering

present of AI; Atlanta (GA); On-site; USD 180,000 - 260,000; Full time

Job summary

present of AI is seeking a Director of Platform Engineering to lead platform infrastructure, reliability, and cross-team technical direction for a production software product. The role emphasizes design excellence, incident response, and ensuring uptime and observability.

The candidate should bring a track record of guiding multiple technical areas, setting architecture direction, and maintaining day-to-day operations with a strong focus on reliability and efficient release practices.

Qualifications

• Must have experience leading engineers across multiple technical areas.
• Strong judgment on system design and incident response.
• Ability to set technical direction while managing day-to-day operations.

Responsibilities

• Lead platform engineering for production observability and reliability.
• Drive release safety and incident management practices.
• Set technical direction across teams and improve monitoring pipelines.

Skills

Platform leadership

Incident response

Cross-team direction

Observability

Reliability engineering

Release safety

Job description

A Director of Platform Engineering typically needs a record of running infrastructure and reliability for a software product, plus experience leading engineers across more than one technical area. A strong candidate brings sound judgment on system design, release safety and incident response, and can set technical direction while staying close to day to day operations. At a company building a model of production software to catch issues before code ships, that means caring deeply about reliability and how the platform itself is observed and improved.

How it fits the AI era

Platform leadership is shifting from hands on upkeep toward designing systems that watch themselves and flag problems early, which is close to what this company sells. AI tools speed up provisioning, monitoring and triage, but accountability for uptime, tradeoffs and hard calls during incidents stays with people. The role increasingly means deciding where automation is trusted and where human review is required.

How it builds AI experience

Working here would build experience in applying AI to production observability, release safety and incident prediction, since the product itself models live software. A candidate can prepare by learning how monitoring, telemetry and alerting pipelines work, and by trying AI assisted triage or anomaly detection on real systems. Understanding how predictions get validated before they affect customers is the useful foundation.

Worth showing

• Platform and infrastructure leadership
• Reliability and incident response
• Cross team technical direction
• Observability and telemetry
• Safe release practices

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About PlayerZero

PlayerZero builds a living model of production software to predict and prevent customer-facing issues before code ships, per the company.