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Director, Platform Engineering

Supercast

full time · Director

$160,000 – $270,000

Listed on Supercast’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Lead a newly formed platform engineering team at FOX Technology that bridges experimental AI-assisted solutions and production-ready tools for broadcast and internal engineering workflows. This role suits engineering leaders with experience taking prototypes to production at scale, strong AI and infrastructure fundamentals, and the ability to mentor teams while partnering across technical organizations.

Our summary, not Supercast’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • Lead software engineering, platform engineering, DevOps, MLOps, or infrastructure teams
  • Strong knowledge of software development lifecycles, CI/CD, testing, deployment, and production support
  • Experience moving tools or platforms from concept or POC to production
  • Proficient in Python with modern software engineering practices
  • Experience with AI workflows, LLMs, model deployment, or AI-enabled application development
  • Experience with GPU compute or high-performance computing environments
  • Experience with cloud providers like AWS or Google Cloud
  • Experience evaluating code quality, architecture, dependencies, security, scalability, and production readiness
  • Ability to partner with information security on secure development and vulnerability management
  • Strong communication skills explaining technical decisions to technical and non-technical audiences

Nice to have

  • Experience in media, broadcast technology, streaming, or content distribution
  • Experience with NVIDIA Holoscan or similar accelerated computing
  • Experience building internal developer platforms or model governance frameworks
  • Experience with broadcast workflows and 24/7 operational technology
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • Master's or PhD in AI/ML, Computer Science, or Engineering

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