Analyst, P1, Software Eng I
RMZ Ecoworld Business Park, India
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.About Morgan Stanley
Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people’s talent, passion, and expertise are the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness are a critical component for our success, and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.
MS Wealth Management (MSWM) Technology
Morgan Stanley Wealth Management (MSWM) Technology is the global technology department responsible for the design, development, delivery and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management (MSWM) business. The department is comprised of 10 organizations: Sales, Banking & Corporate-Client Technology, Investment Products & Markets Technology, Client Reporting, Core Processing, Private and International Wealth Management Technology, Technology Integration Office, Enterprise Infrastructure & Production Management, Capital Markets Application & Data Services, Deployment Planning & Release Management, and the Chief Operating Office.
Department Profile
Wealth Managements Core Platform Services group provides horizontal services to all Wealth management Development Teams. Our mission is to provide stable and scalable infrastructure and technology solutions for entire Wealth Management. We serve as a centralized interface through which Wealth Management teams can obtain infrastructure solutions and project support by working closely with application owners throughout the SDLC process to ensure that established products/services are leveraged, and new requirements are fulfilled.
Position Description
This position is for an opportunity to work in solution development team, a horizontal in Core Platform Services under Wealth Management, which Standardize, automate tools and processes for all the app dev team across WM division. We are looking for colleagues with strong sense of ownership and ability to drive solutions. The role is primarily responsible to manage all the tools owned by our team and come up with innovation to solve the problems for WMT developers. The candidate will architect and develop a sophisticated automation platform designed to streamline operational workflows, implement self-healing mechanisms, and efficiently manage infrastructure alerts. Working at the intersection of technical innovation and strategic partnership, they will collaborate cross-functionally to identify high-value automation opportunities, analyze recurring operational patterns, and develop reusable components. Success in this role requires not only designing reliable, scalable solutions with appropriate monitoring capabilities, but also championing automation adoption through documentation, training, and demonstrating quantifiable operational improvements while establishing governance and best practices throughout the automation development lifecycle.
The candidate is expected to code, conduct code reviews, and test software as needed, along with participating in application architecture and design and other aspects of Software Engineering.
The ideal candidate will be a self-motivated team player committed to delivering on time and should be able to work with without or minimal supervision.
Responsibilities
- Architect and implement a scalable, distributed automation execution platform leveraging Celery for asynchronous task processing and workload management
- Establish comprehensive observability infrastructure integrating modern tools including Loki for log aggregation, Jaeger for distributed tracing, Prometheus for metrics collection, and Grafana for unified monitoring dashboards
- Develop and deploy a GitOps-driven self-service platform enabling automated configuration management, streamlined onboarding processes, and infrastructure-as-code practices
- Lead migration efforts to transform legacy Ansible automation workflows to modern Python-based orchestration solutions, improving flexibility and maintainability
- Design and implement an intelligent recommendation engine utilizing Generative AI technologies to provide data-driven insights and decision support capabilities
Required Skills
- Proficient in Python core programming, with experience in web frameworks such as FastAPI and Flask
- Strong understanding of Angular front-end development
- Experience with Large Language Models (LLMs) and Generative AI concepts and applications
- Advanced SQL skills with knowledge of complex queries, optimization, and various database platforms
- Familiarity with implementing observability tools and monitoring best practices
- Solid UNIX/Linux command-line knowledge and scripting capabilities
- Experience with Azure cloud services and ecosystem
- Strong analytical and problem-solving abilities
- Exceptional prioritization skills with ability to manage multiple tasks independently
- Self-directed work ethic with minimal supervision requirements
- Excellent written and verbal communication abilities
- Demonstrated collaboration experience across cross-functional teams
- Track record of fostering positive, collaborative environments
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
Primary skills
- Python (Core, FastAPI, Flask, Celery, Pandas, NumPy)
- Angular frontend development
- Container technologies (Kubernetes, Docker)
- Database expertise (SQL Server, MongoDB, Redis)
- Message streaming platforms (Apache Kafka, Zookeeper)
- Large Language Models (LLM) and Generative AI concepts
- Observability tools implementation
- Advanced SQL query development
- UNIX/Linux environments
- Azure cloud services (preferred)
Desired skills
- .NET Core development
- React frontend library
- Apache Kafka implementation
- AI/ML model development
- Prompt engineering techniques
- LLM fine-tuning methodologies
- Vector database experience
- Retrieval-Augmented Generation (RAG)
- DevOps practices
- Microservices architecture design
- API design and governance
- Event-driven system design
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Angular Ansible APIs Architecture Azure Banking DevOps Docker Engineering FastAPI Flask Generative AI Grafana Kafka Kubernetes Linux LLMs Machine Learning Microservices ML models MongoDB NumPy Pandas Prompt engineering Python RAG React SDLC SQL Streaming
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