Warner Bros. Discovery
Media
StaffSoftwareEngineer
“Staff Software Engineer at Warner Bros. Discovery. Skills: Distributed systems, Cloud infrastructure, IaC, ML infrastructure. Design infrastructure. Own infrastructure”
What You'll Achieve.
Accelerating digital transformation; Move from prototype to production with velocity and confidence; Operate with velocity and confidence; Zero production disruption; Clear path to self-service; Establish comprehensive observability; Understand and govern ML/AI spend; Provide lineage; Provide reproducibility; Clean handoff; Configure content types; Configure events; Register feature-generation APIs; Land resolved features; Power analytics; Power training; Power inference; Power user-facing rendering; Move from prototype to production without platform team dependencies; Reliability; Cost governance; Operational excellence
Industry & Context.
Understanding production needs; Build reliable infrastructure; Deliver tooling; Accelerate the team; Operate production systems reliably; Understand and govern ML/AI spend; Provide lineage; Provide reproducibility; Clean handoff; Configure content types; Configure events; Register feature-generation APIs; Land resolved features
What They're Looking For.
Must Have
8+ years building production infrastructure or platform systems, Bachelor's degree in Computer Science, Information Technology, or a related technical field, Deep expertise in distributed systems, Proficiency in Python, Proficiency in Go, Java, or C++, Expertise with cloud infrastructure, Expertise with IaC, AWS, Terraform, Experience with ML or data infrastructure, Proven track record of leading complex platform projects, Collaborative mindset
Nice to Have
Experience with Metaflow, Experience with SageMaker, Experience with comparable ML orchestration platforms, Experience with model registries, Experience with feature stores, Experience with experimentation frameworks, Background in cost governance, Background in FinOps, Background in multi-tenant infrastructure, Practical experience supporting LLM-based or GenAI production systems, Prior experience working closely with machine learning engineers, 6+ years with a Master's degree
What You'll Do.
Design infrastructure
Operate infrastructure
Lead architectural decisions
Build self-service tooling
Establish engineering standards
Lead cross-team initiatives
Partner with Data Platform
Communicate effectively
How You'll Work.
Team & Collaboration
Work across teams; Partner with ML engineers; Partner with data engineers; Partner with AI Systems engineers; Collaborate with product; Partner with Data Platform
Communication Scope
Technical documentation; Design reviews; Stakeholder interactions
Process & Methodology
Lead complex platform projects
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