Orchestration Platform Engineer

Responsibilities 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. 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 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. Your skills and experience that will help you excel 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. About MSCI   What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working