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Jpmorgan & Co

Lead Software Engineer - Python Full Stack, AI/ML

Jpmorgan & Co
Mumbai, India
5-7 Years
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Job Description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
  • Delivers end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
  • Uses domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
  • Develops secure high-quality production code, and reviews and debugs code written by others.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect. Investigates and resolve issues, ensuring they do not resurface.
  • Designs and build solutions that avoid single points of failure using scalable architectural patterns. Designs and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required Qualifications, Capabilities, And Skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proficiency in back-end technologies (e.g., Python, Flask, Django) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
  • Well versed with AI/ML technologies (e.g. LLM, AI Python libraries, LLM tools, ML foundations)
  • Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
  • Hands-on experience designing and building scalable applications using SQL and NoSQL databases. Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
  • Understanding of application resiliency. Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred Qualifications, Capabilities, And Skills

  • Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to drive broader impact by sharing and contributing best practices.
  • Experience in the banking domain. AWS certification.

ABOUT US

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Software Engineering
Employment Type:
Full time

About Company

Jpmorgan & Co

Job ID: 150668649

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Last Updated: 03-07-2026 09:26:54 PM
Homejobs in MumbaiLead Software Engineer - Python Full Stack, AI/ML

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