Remote Director of Platform & AI Security Engineering

Deca Talent; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Deca Talent has partnered with a high-growth AI Security company to hire a hands-on engineering leader who will own the platform and infrastructure function. You will shape the technical foundations of a scaling engineering organisation and influence architecture, engineering standards and production operations.

You will lead platform and infrastructure teams, drive cloud and distributed systems decisions, and raise the technical bar as the company expands its AI workloads.

Qualifications

• Experience leading platform/infrastructure or backend teams.
• Deep understanding of distributed systems and production infra.
• Ability to alternate architectural decisions with hands-on problem solving.
• Proven track record of developing engineers and raising the technical bar.

Responsibilities

• Lead and develop a team of platform and infrastructure engineers while remaining technically hands-on.
• Set direction for platform architecture, AI infrastructure and distributed systems.
• Build reliable, scalable foundations for data-intensive and AI workloads.
• Drive decisions across cloud infrastructure, compute, networking, storage, observability and tooling.
• Improve engineering practices, reliability and operational efficiency as the organisation scales.
• Partner with engineering leadership to identify priorities and make pragmatic technical trade-offs.

Skills

Platform engineering

Infrastructure engineering

Backend engineering

Distributed systems

Team leadership

Job description

Deca Talent has partnered with a high-growth AI Security company to hire a hands-on engineering leader who will own the platform and infrastructure function. You will shape the technical foundations of a scaling engineering organisation and influence architecture, engineering standards and production operations.

You will lead platform and infrastructure teams, drive cloud and distributed systems decisions, and raise the technical bar as the company expands its AI workloads.