Set technical direction; define architecture and roadmap.
Mentor engineers across teams and raise engineering bar.
Build real-time ingestion pipelines and multi-vendor API integrations.
Enforce entitlements across distributed systems for content delivery at scale.
Translate ambiguous business problems into executable technical strategies; ship end-to-end.
Own reliability; monitor SLOs/SLIs and troubleshoot production issues.

🎯 Requirements

Strong in Python; production code in multiple languages.
Designed and owned production systems serving real users.
Deep DevOps experience: Kubernetes, AWS/Azure/GCP, CI/CD.
Mentored engineers; led by example.
AI/ML in production: LLMs, NLP pipelines.
Content processing or search systems at scale.

🎁 Benefits

Autonomy to shape technical area and drive RFCs.
Work with AI tools daily in development.
Mentor peers and raise team standards.
Autonomy with accountability on a high-scale platform.

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