Sr DevOps Lead Engineer with ML/Ops

8 - 11 years

20 - 25 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • CI/CD setup and automation using GitHub, GitHub Actions
  • Docker, Kubernetes, Helm and Argo CD
  • IAC using Terraform
  • Hands-on experience with observability stack OpenTelemetry, Prometheus, Grafana, CloudWatch
  • Cloud platform - AWS
  • Experience in DataOps building and maintaining data pipelines, DAGs using Apache Airflow
  • Exposure to Kafka for data streaming and event-driven pipelines
  • Python for automation, data pipelines and ML workflows
  • Experience with MLflow or Kubeflow for model tracking, deployment and lifecycle management
  • Familiarity with Databricks for Data pipelines, ML and data engineering use cases
  • Exposure to Agentic AI concepts, LLMs and models (LangChain, Bedrock Agents)
  • Understanding of SAST, DAST, CodeQL and pipeline quality gates
  • Good grasp of networking fundamentals, FinOps and HA/DR strategies
  • Experience collaborating across DevOps, Data Engineering and AI Platform teams

 

You should be speaking to us if;

  • You are looking for a career that challenges you to bring your knowledge and expertise to bear for designing implementing and running a world class IT organization.
  • You like a job that brings a great deal of autonomy and decision-making latitude.
  • You like working in an environment that is young, innovative, and well established.
  • You like to work in an organization that takes decisions quickly, is non-hierarchical and where you can make an impact.

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