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Tier-1 brand, metro location, popular DevOps role, and broad MLOps/cloud requirements increase competition.
Core DevOps/MLOps skills are transferable, but agentic frameworks and media experience create moderate domain bias.
Multiple mandatory technical skills (MLOps, Kubernetes, cloud, CI/CD, monitoring) raise filtering strictness.
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Own deployment, monitoring, and scaling of multi-agent media tools ensuring system reliability and performance.
Build and maintain CI/CD pipelines for deploying agents and models across cloud and on-prem environments.
Implement monitoring, logging, and ensure security and data governance compliance for agent workflows.
Strong experience in DevOps/MLOps including CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
Hands-on experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, Azure, GCP).
Experience with monitoring tools such as Prometheus, Grafana, and ELK stack.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with agentic frameworks (LangChain, AutoGen, CrewAI) and willingness to deepen expertise in multi-agent orchestration.
Expertise in optimizing system reliability, scalability, and cost efficiency in dynamic environments.
Ability to collaborate cross-functionally with engineers, data scientists, and stakeholders in media or content-driven settings.