Orchestration Platform Engineer
MSCI (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 14–24 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, operate, and maintain Apache Airflow-based orchestration and data-processing platforms using Python.
- Deploy, configure, troubleshoot applications in Kubernetes environments across on-premises, Azure, and GCP cloud platforms.
- Manage CI/CD pipelines with Git and Azure DevOps; ensure production system reliability, security, observability, and perform root-cause analysis for production issues.
Minimum Requirements
- Professional experience in production-quality Python software development.
- Experience with Apache Airflow or comparable orchestration platforms.
- Hands-on experience with Kubernetes and containerized applications.
- Experience with Git and Azure DevOps including CI/CD pipelines. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technically strong engineer skilled in orchestration, cloud-native environments, and troubleshooting live production systems.
- Experienced in multi-cloud environments (on-premises, Azure, GCP) and container orchestration with Kubernetes.
- Familiar with AI-assisted engineering tools and capable of end-to-end ownership from design through production support, collaborating across distributed teams and technical/non-technical stakeholders.