Your Team Responsibilities

The Solutions Management Orchestration Platform Engineering team builds and maintains data-processing orchestration platforms supporting MSCI’s standard solutions, partnership offerings, and cutting-edge products.
The team is responsible for:
Designing, developing, and operating Apache Airflow-based orchestration solutions.
Building reliable, scalable, and maintainable Python services and automation.
Supporting solutions hosted on-premises, in Microsoft Azure, and in Google Cloud Platform.
Running and managing workloads in Kubernetes environments.
Maintaining CI/CD pipelines using Git and Azure DevOps.
Ensuring the reliability, security, observability, and operational supportability of production systems.
Collaborating with product, engineering, operations, and partner teams to deliver business-critical capabilities.
Applying AI-assisted development tools to improve engineering productivity, quality, and delivery speed.

Your Key Responsibilities

In this role, you will:




Develop and maintain Python-based orchestration and data-processing components.
Design, implement, and support Apache Airflow DAGs, workflows, operators, and integrations.
Deploy, configure, and troubleshoot applications running in Kubernetes.
Contribute to solutions across on-premises, Azure, and GCP environments.
Create and maintain automated build, test, deployment, and release pipelines in Azure DevOps.
Use Git and established engineering practices for version control, peer review, and team-oriented development.
Investigate production issues, perform root-cause analysis, and implement durable solutions.
Improve system reliability, monitoring, alerting, performance, and operational efficiency.
Collaborate with globally distributed colleagues and stakeholders across the product lifecycle.
Contribute to technical design decisions, documentation, and continuous improvement of the team’s platforms and practices.
Use AI tools such as Code

📌 Orchestration Platform Engineer Mumbai (India)
🏢 MSCI
📍 India