Senior Manager of Software Engineering - Python, Django, Flask

JPMorgan Chase & Co.; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru is seeking a Senior Manager of Software Engineering to lead and mentor multiple software teams, with hands-on Python, Django, and Flask experience.

You will drive architectural decisions, govern SDLC practices, and influence budget and delivery across functions. The role emphasizes AI-assisted development, responsible AI use, and scalable engineering patterns to improve speed, quality, and reliability.

Qualifications

• Formal training or certification in software engineering concepts.
• Minimum of 10 years of experience leading software teams.
• Hands-on expertise in Python, Django, Flask.
• Ability to guide and coach teams to achieve strategic goals.
• Practical experience delivering system design, application development, testing, and operational stability.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations.
• Experience with hiring, developing, and recognizing talent.

Responsibilities

• Provide direction, oversight, and coaching for entry-level to mid-level software engineers working on basic to moderately complex tasks.
• Be accountable for decisions impacting resources, budget, tactical operations, and process implementation.
• Advocate firmwide frameworks, tools, and practices of the Software Development Life Cycle.
• Ensure successful collaboration across teams and stakeholders.
• Identify and mitigate issues to execute a book of work, escalating as necessary.
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations and ensures validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Provide input to leadership on budget, approach, and technical considerations to improve operational efficiencies and functionality.
• Foster a culture of opportunity and respect for team members.

Skills

Leadership

People Management

Budget awareness

SDLC knowledge

Education

Formal training or certification in software engineering

Tools

Python

Django

Flask

Job description

Senior Manager of Software Engineering - Python, Django, Flask

Job Information

• Job Identification 210769165
• Job Category Software Engineering
• Business Unit Corporate Sector
• Posting Date 08/28/2026, 08:34 AM
• Locations Ground to Fifth Floor G,H Block, EMBASSYTECH VILLAGE-PARCEL 5 OUTER RING RD DEVERABEESANAHALLI VILLA, Bengaluru, IN-KA, 560103, IN
• Apply Before 09/04/2026, 04:00 AM
• Job Schedule Full time

Job Description

Join us to shape the future of financial technology through impactful leadership and technical guidance. Advance your career by mentoring teams and influencing innovative solutions.

As a Senior Manager of Software Engineering at JPMorgan Chase within the Infrastructure Platforms team, you provide technical coaching and advisory for multiple teams, anticipating needs and dependencies across functions. Your expertise influences budget and technical decisions to enhance operational efficiency and functionality. You play a key role in advancing team culture and operational excellence.

Job responsibilities

• Provide direction, oversight, and coaching for entry-level to mid-level software engineers working on basic to moderately complex tasks
• Be accountable for decisions impacting resources, budget, tactical operations, and process implementation
• Advocate firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Ensure successful collaboration across teams and stakeholders
• Identify and mitigate issues to execute a book of work, escalating as necessary
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Provide input to leadership on budget, approach, and technical considerations to improve operational efficiencies and functionality
• Foster a culture of opportunity and respect for team members

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Minimum of 10 years of experience leading software teams
• Hands‑on expertise in Python, Django, Flask
• Ability to guide and coach teams to achieve strategic goals
• Practical experience delivering system design, application development, testing, and operational stability
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
• Experience with hiring, developing, and recognizing talent

Preferred qualifications, capabilities and skills

• Experience working at code level
• Experience in front-end technologies such as React and Angular
• Experience building cloud native solutions