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Mainframe Python Engineer_Director_Cloud & Infrastructure Engineering

Morgan Stanley

Mainframe Python Engineer_Director_Cloud & Infrastructure Engineering

Morgan Stanley

Bangalore, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Parental leave

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

401(k) matching

Competitive salary and equity package

Flexible Hours

Parental Leave

Healthcare

Equity

Required Skills

Python

TypeScript

PostgreSQL

Profile Description

We're seeking someone to join our Enterprise Technology team as a Mainframe Python Engineer, in Enterprise Z with expertise in DB2, data visualization, and advanced Excel capabilities. This role focuses on building automation, analytics, and reporting solutions within mainframe environments. Experience with performance monitoring tools such as RMF or SMF is a significant plus but not required.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
This is Director position that manages and optimizes technical infrastructure and ensures the seamless operation of IT systems to support business needs effectively.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

  • What you'll do in the role:Application Development

  • Design and develop Python scripts and applications for mainframe automation and data processing.

  • Integrate Python solutions with DB2 databases for efficient data access and manipulation.

  • Modernize workflows and improve operational efficiency through automation.

  • Database Management

  • Write and optimize SQL queries for DB2 on z/OS.

  • Support schema design, performance tuning, and troubleshooting.

  • Data Analysis & Visualization

  • Analyze large datasets from mainframe systems.

  • Create dashboards and visualizations using Power BI, Tableau, or Python libraries (Matplotlib, Seaborn).

  • Build advanced Excel reports leveraging Pivot Tables, Power Pivot, and complex formulas.

  • Performance Monitoring (Preferred)

  • Utilize RMF and SMF data for system performance analysis.

  • Identify trends, bottlenecks, and optimization opportunities.

  • Assist in capacity planning and workload forecasting.

  • Collaboration

  • Work closely with infrastructure, operations, and development teams.

  • Communicate technical insights to both technical and non-technical stakeholders.

What you'll bring to the role:

  • At least 6+ years' relevant experience would generally be expected to find the skills required for this role.
  • Strong Python programming experience in mainframe integration contexts.
  • Proficiency in DB2 and SQL for data manipulation and reporting.
  • Advanced Excel skills (Pivot Tables, Power Pivot, complex formulas).
  • Experience with data visualization tools (Power BI, Tableau) or Python visualization libraries.
  • Familiarity with JCL and mainframe batch processing concepts.
  • Excellent analytical and problem-solving skills.

Preferred Skills:

  • Experience with RMF (Resource Measurement Facility) and SMF (System Management Facility).
  • Knowledge of mainframe performance tuning and observability tools.
  • Exposure to REXX or Java on mainframe.
  • Understanding of capacity planning and workload modeling.
  • Qualifications - bachelor's degree in computer science, Information Systems, or related field.-
  • Experience in mainframe environments with Python development.
  • Strong communication skills and ability to work independently or in a team.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 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.

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About Morgan Stanley

Morgan Stanley

A financial services company that offers securities, asset management, and credit services.

10,001+

Employees

New York

Headquarters

Reviews

3.5

4 reviews

Work Life Balance

3.0

Compensation

2.5

Culture

3.2

Career

3.0

Management

3.0

35%

Recommend to a Friend

Pros

Skills evaluation through business plans and projects

Direct access to senior leadership interviews

Conversational interview format

Cons

Automated resume screening system issues

Focus on formatting over qualifications

Compensation concerns and salary expectations

Salary Ranges

11,766 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

1,682 reports

$114,371

total / year

Base

$96,366

Stock

-

Bonus

$18,005

$77,808

$170,800

Interview Experience

6 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 16%

Neutral 84%

Negative 0%

Interview Process

1

Initial screening (HR/HireVue)

2

Technical rounds

3

Manager/Senior leadership interviews

4

Final round/Superday

Common Questions

Technical knowledge assessment

Behavioral questions

Role-specific scenarios

Leadership and teamwork examples