Orchestration Platform Engineer

MSCI Inc; Mumbai; On-site; INR 1,000,000 - 1,700,000; Full time

Job summary

MSCI Inc. is seeking a technically strong Platform Engineer to build and operate data-processing orchestration platforms across on-premises, Azure, and Google Cloud. You will design Airflow DAGs, deploy in Kubernetes, and develop Python services while maintaining CI/CD pipelines.

You will work with distributed teams, apply AI-assisted tools with proper human review, and improve reliability, observability, and security of production systems.

Qualifications

• Proven experience writing production-quality Python code.
• Hands-on with Apache Airflow or similar workflow orchestration.
• Experience running containerized apps on Kubernetes.
• Familiarity with Docker for local development and testing.
• Experience using Git and Azure DevOps for CI/CD pipelines.
• Understanding of software engineering fundamentals: testing, versioning, observability.
• Experience with at least one major cloud platform, especially Azure or GCP.
• Ability to analyze complex systems and make sound engineering decisions.
• Strong problem-solving and incident investigation skills.
• Ability to collaborate across distributed teams and communicate clearly.
• Experience using AI-assisted engineering tools with human review.

Responsibilities

• Develop and maintain Python-based orchestration and data-processing components.
• Design and support Airflow DAGs, workflows, operators, and integrations.
• Deploy and troubleshoot applications in Kubernetes.
• Contribute across on-premises, Azure, and GCP environments.
• Create automated build, test, deployment, and release pipelines in Azure DevOps.
• Use Git and established practices for version control and peer reviews.
• Investigate production issues and implement durable fixes.
• Improve system reliability, monitoring, and performance.
• Collaborate with distributed colleagues across the product lifecycle.
• Participate in knowledge sharing, code reviews, and cross-location support.
• Apply AI tools responsibly to accelerate development with human oversight.

Skills

Python

Airflow

Kubernetes

Docker

Git

Azure DevOps

CI/CD

Cloud platforms

Observability

Problem solving

Tools

Apache Airflow

Kubernetes

Docker

Git

Azure DevOps

Job description

The Solutions Management Orchestration Platform Engineering team builds and maintains data-processing orchestration platforms supporting MSCI’s standard solutions, partnership offerings, and innovative 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.

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 collaborative 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 Codex, Claude, and Cursor responsibly to accelerate development, testing, troubleshooting, documentation, and knowledge discovery.
• Participate in knowledge sharing, code reviews, and support activities across locations.

We are looking for a technically strong and collaborative engineer with experience in software development, orchestration, and cloud-native environments.

You will be well suited to this role if you have:

• Professional experience developing production-quality software with Python.
• Hands‑on experience with Apache Airflow or a comparable workflow‑orchestration platform.
• Experience working with Kubernetes and containerized applications.
• Familiarity with Docker and Docker Desktop for local development and testing.
• Experience using Git and Azure DevOps, including repositories and CI/CD pipelines.
• Understanding of software engineering fundamentals, including testing, code quality, versioning, troubleshooting, and observability.
• Experience working with at least one major cloud platform; Azure or GCP experience is valuable.
• The ability to understand complex existing systems and make sound engineering decisions in a production environment.
• Strong problem‑solving skills and a structured approach to incident investigation.
• The ability to work effectively with distributed teams and communicate clearly with technical and non-technical stakeholders.
• A proactive mindset and willingness to take ownership of solutions from design through production support.
• Experience using AI‑assisted engineering tools to improve productivity while applying appropriate human review and engineering judgment.

Experience with data platforms, APIs, event-driven systems, infrastructure‑as‑code, security practices, or financial‑services technology would be an advantage.