12 hours ago
Mumbai, IndiaMid Level
Responsibilities
- 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 and containerized environments.
- Support solutions across on-premises, Microsoft Azure, and Google Cloud Platform environments.
- Create and maintain automated build, test, deployment, and release pipelines in Azure DevOps.
- Use Git for version control, peer review, and collaborative development.
- Investigate production issues, perform root-cause analysis, and implement durable solutions.
- Improve reliability, monitoring, alerting, performance, and operational efficiency.
- Collaborate with product, engineering, operations, and partner teams across the product lifecycle.
- Contribute to technical design, documentation, continuous improvement, code reviews, knowledge sharing, and support activities.
- Use Codex, Claude, Cursor, and other AI-assisted engineering tools responsibly to support development, testing, troubleshooting, documentation, and knowledge discovery.
Requirements
- Professional experience developing production-quality software with Python.
- Hands-on experience with Apache Airflow or a comparable workflow-orchestration platform.
- Experience 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 with at least one major cloud platform; Microsoft Azure or Google Cloud Platform experience is valuable.
- Ability to understand complex existing systems and make sound engineering decisions in production environments.
- Strong problem-solving skills and a structured approach to incident investigation.
- Ability to collaborate with distributed teams and communicate with technical and non-technical stakeholders.
- Proactive ownership of solutions from design through production support.
- Experience using AI-assisted engineering tools with appropriate human review and engineering judgment.
- Experience with data platforms, APIs, event-driven systems, infrastructure-as-code, security practices, or financial-services technology is advantageous.
Benefits
- Transparent compensation schemes and comprehensive location-tailored employee benefits supporting financial security, health, and wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Global Orientation program and access to Learning@MSCI, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities.
- Professional growth through multi-directional career paths, internal mobility, expanded roles, and ongoing development.
- Inclusive workplace support through eight Employee Resource Groups.
- Reasonable workplace accommodations are available for individuals with disabilities.
Tech Stack
Categories
Data EngineeringDevOps
About MSCI Inc.
MSCI builds equity indexes, risk/portfolio analytics software, and ESG and climate datasets for institutional investors, who license benchmarks and subscribe to its research and tools. Its MSCI equity indexes are widely used as benchmarks for ETFs and institutional portfolios, and the firm also offers real estate and factor investing analytics. MSCI is headquartered in New York and is a public company listed on the NYSE (ticker: MSCI).