Position Details
About this role
This role leads platform-level execution of software and AI/ML systems, focusing on scalable, secure, and reliable infrastructure. The position involves overseeing shared tooling, driving full lifecycle management, and fostering technical excellence across teams.
Key Responsibilities
- Lead platform execution of software and AI/ML systems
- Oversee shared infrastructure and tooling
- Drive full software lifecycle management
- Manage cloud cost optimization
- Mentor engineering teams
Technical Overview
The technical environment includes AI/ML systems, cloud-native architecture, DevOps practices, automation, telemetry, and incident management tools. The role emphasizes scalable, high-availability systems and infrastructure design.
Ideal Candidate
The ideal candidate is a senior-level software engineering leader with extensive experience in AI/ML systems, cloud-native architecture, and DevOps practices. They possess strong leadership skills, a track record of managing complex technical initiatives, and the ability to mentor engineering teams to deliver scalable, high-availability systems.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of leadership experience in platform engineering, No experience with AI/ML systems, No cloud-native architecture knowledge, No mentoring or team management experience
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