Orchestration Platform Engineer

MSCI Services; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Transparent compensation schemes

Flexible working arrangements

Learning opportunities & AI Learning

Global network of colleagues

Employee Resource Groups

Job summary

MSCI Services seeks a technically strong Platform Engineer for the Solutions Management Orchestration Platform Engineering team. You will develop Python-based orchestration components, design Airflow DAGs, and deploy in Kubernetes across Azure and Google Cloud.

You will collaborate with global teams, ensure reliability and observability, and leverage AI-assisted tools to accelerate development while maintaining rigorous human review.

Qualifications

• Professional experience developing production-quality software with Python.
• Hands-on experience with Airflow or a comparable workflow platform.
• Experience working with Kubernetes and containerized applications.
• Familiarity with Docker for development and testing.
• Experience using Git and Azure DevOps, including CI/CD pipelines.
• Understanding of testing, code quality, versioning, troubleshooting, and observability.
• Experience with at least one major cloud platform; Azure or GCP is valuable.
• Ability to understand complex systems and make sound production decisions.
• Strong problem-solving and incident analysis skills.
• Effective collaboration with distributed teams and stakeholders.
• Proactive mindset with ownership from design to production support.
• Experience using AI-assisted engineering tools with human review.

Responsibilities

• Develop and maintain Python-based orchestration and data-processing components.
• Design, implement, and support 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 and peer review.
• Investigate production issues, perform root-cause analysis, and implement durable solutions.
• Improve system reliability, monitoring, alerting, and performance.
• Collaborate with globally distributed colleagues across the product lifecycle.
• Contribute to technical design decisions, documentation, and continuous improvement.
• Use AI tools responsibly to accelerate development, testing, and knowledge discovery.
• Participate in knowledge sharing, code reviews, and support activities across locations.

Skills

Python development

Apache Airflow

Kubernetes

Docker

Git & Azure DevOps

CI/CD pipelines

Cloud platforms (Azure, GCP)

Observability & troubleshooting

AI-assisted engineering tools

Tools

Airflow

Kubernetes

Docker

Git

Azure DevOps

Job description

Overview

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.

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.

Qualifications

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.

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 arrangements, advanced technology, and collaborative workspaces.
• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
• Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

Equal Opportunity

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [e-mail] and indicate the specifics of the assistance needed. Please note, this email is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.