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Tier-1 brand, metro location, and mid-level DevOps role create high candidate competition.
Role requires specialized DevOps/MLOps skills and agentic framework experience, limiting cross-industry transferability.
Multiple mandatory DevOps/MLOps technologies and proven agentic framework experience make filters stringent.
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Own deployment, monitoring, and scaling of multi-agent media tools focusing on infrastructure, automation, and performance optimization.
Build and maintain CI/CD pipelines and manage containerized applications on cloud or on-prem environments.
Ensure system performance optimization, security compliance, and collaborate with engineers and data scientists for model deployment and retraining.
Strong hands-on experience with DevOps/MLOps practices and cloud platforms (AWS, Azure, GCP) including Kubernetes.
Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or ArgoCD and scripting skills in Python and Bash.
Experience with monitoring tools like Prometheus, Grafana, or ELK stack and familiarity with ML lifecycle tools (MLflow, Kubeflow, Weights & Biases).
Work Experience Required: Not explicitly mentioned in the JD.
Detail oriented with a proactive approach to identifying and resolving system bottlenecks focused on reliability and scalability.
Experience or willingness to deepen expertise in multi-agent orchestration frameworks such as LangChain, AutoGen, or CrewAI.
Able to collaborate effectively with cross-functional teams in a dynamic, media or content-driven tech environment.