채용

Agentic AI (Java/Python) - Director- Software Engineering
Bengaluru, Karnataka, India; Mumbai, Maharashtra, India
·
On-site
·
Full-time
·
1w ago
Required Skills
Java
Python
Teradata
Snowflake
UNIX
Shell scripting
CI/CD
Agile
- We’re seeking someone to join our FRPPE Tech team as a Java
- Agentic AI/ Python, in Finance Technology to work in a team providing Agentic AI/ Java / Python design & development ,as well as very intensive business & data analysis out of our Finance Data Warehouse (FDW) built in Teradata.
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 develops and maintains software solutions that support business needs.
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:
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Perform business/data analysis to investigate into various business problems and propose the solution working closely with clients and team
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Design, implement, test and maintain Agentic AI/ Java/ Python components for multiple applications – technology choice could vary depending on the types of components and team’s strategy
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Performance and scalability optimization to support large scale deployments
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Define new features in conjunction with product management, and provide specifications
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Ensure quality and completeness of the final product through unit testing, documentation and maintenance as appropriate
What you’ll bring to the role:
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Solid backend development skills in Java or Python
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Proficiency in working with Teradata and/or Snowflake
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Ability to collaborate with design and product teams to deliver intuitive user experiences
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5–8 years of professional software development experience
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Familiarity with CI/CD pipelines and agile development practices
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Excellent problem-solving and communication skills
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Experience or interest in Generative AI
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DevOps Tooling including Unit/Functional Testing in a Developer capacity
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UNIX experience: Basic understanding of UNIX and shell commands is required, scripting (e.g. Python/Shell/Perl)
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Exposure to BFSI and finance industry preferred.
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Proven experience across both frontend and backend development
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At least 4+ years' relevant experience would generally be expected to find the skills required for this role
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
PublicA 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
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