Software Engineer III Python/Numpy/Pandas

JPMorgan Chase & Co.

Mumbai

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Mumbai is seeking a Software Engineer III with strong Python, NumPy and Pandas skills to design, develop, and deliver scalable software solutions within the Chief Technology Office.

You will work in an agile team, contribute to data-driven insights, and help ensure secure, high-quality production code. The role emphasizes collaboration, continuous learning, and applying AI-assisted tooling to improve code quality and delivery speed.

Qualifications

  • Formal training or certification in software engineering concepts and 5+ years of applied experience per firm guidelines.
  • Strong Python development skills with a track record of delivering large-scale projects.
  • Experience with relational databases such as Sybase, MS SQL Server, or Oracle.
  • Good understanding of the Software Development Life Cycle (SDLC).
  • Experience developing, debugging, and maintaining code in large-scale enterprise applications.
  • Hands-on experience with system design, application development, testing, and operational stability in tech/financial domains.
  • Experience using AI-assisted software development tools with ability to evaluate outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting with ability to handle non-routine problems.
  • Creates secure, high-quality production code and maintains algorithms with synchronized systems.
  • Uses enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity with peer review and secure coding standards.
  • Applies SDLC toolchain knowledge to improve automation and value.
  • Produces architecture and design artifacts for complex applications and ensures design constraints are met.
  • Gathers and analyzes data to develop visualizations and feedback for continuous improvement of software.

Skills

Python
Data structures & algorithms
SQL
SDLC
Agile
CI/CD
AI tooling

Tools

NumPy
Pandas
Oracle
MS SQL Server
Sybase
Linux/Unix
Shell scripting
AWS

Job description

Software Engineer III Python/Numpy/Pandas
Job Information
  • Job Identification 210763396
  • Job Category Software Engineering
  • Business Unit Corporate Sector
  • Locations VENTURA TOWERS,2ND3RD,4TH,5TH & 8TH, (PART)FLRS,HIRANANDANI BUSINESS , PARK,C.A.RD,POWAI, Mumbai, IN-MH, 400076, IN
  • Job Schedule Full time
  • Job Shift Day
Job Description

Join us to advance your software engineering career while building impactful technology solutions. Grow your skills and make a difference with a collaborative team.

As a Software Engineer II at JPMorgan Chase within the Chief Technology Office team, you will design, develop, and deliver innovative software solutions. You will collaborate with an agile team to enhance technology products in a secure and scalable way. You will gain hands-on experience across the software development lifecycle. You will contribute to a supportive team culture focused on growth and technical excellence.

Job Responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts and5+ yearsof applied experience or as per firm’s guidelines.
    • StrongPythondevelopment skills with a track record of deliveringlarge-scale projects
    • Experience with relational databases such asSybase, MS SQL Server, or Oracle
    • Good understanding of theSoftware Development Life Cycle (SDLC)
    • Experience developing, debugging, and maintaining code inlarge-scale enterprise applications and strong understanding ofdata structures, algorithms, and their practical use
    • Hands-on experience withsystem design, application development, testing, andoperational stability and experience intech and/or financial industries
    • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
    • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
    • Solid understanding ofAgile practices, includingCI/CD, application resiliency, and security and ability to work effectively in adynamic, fast-paced environmentwith multiple concurrent projects
    • Strong collaboration skills to work with stakeholders across teams to clarifybusiness/product questions.

Preferred qualifications, capabilities, and skills

  • Familiarity withshell scriptinginLinux/UNIXenvironments
    • Strong understanding ofmathematical conceptsandstatistical analysis
    • Working knowledge of Python numerical libraries such asNumPyandPandas
    • Exposure to cloud technologies, includingAWS solutionsand storage technologies
    • Exposure to AI tools (e.g.,Claude,Copilot)
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