Software Engineer II - Techno Functional Quality Engineer

United States Digital Space LLC; Maharashtra; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

JPMorgan Chase is seeking a Software Engineer II for the TaxSmart platform to support multi-year initiatives. You will plan with stakeholders, develop test strategies, and contribute to automation and non-functional testing.

You will build reusable automation frameworks, collaborate across teams, support pre/post deployment tests with DevOps, and apply AI-assisted development tools while ensuring code quality, security, and reliability.

Qualifications

• Formal training or certification in software engineering with 2+ years of experience
• Experience delivering complex fintech initiatives with emphasis on quality
• Strong understanding of asset management/trading workflows
• Hands-on experience with AI-assisted development tools and secure coding practices
• Excellent problem-solving, communication and collaboration skills

Responsibilities

• Develop and maintain reusable automated frameworks, tooling and utilities
• Collaborate with cross-functional teams to understand requirements and ensure test coverage
• Write and test features manually first, then invest in automation
• Support pre- and post-deployment tests with release and DevOps teams
• Support UAT with business users and vendors as applicable
• Develop and conduct non-functional testing
• Utilize AI-assisted coding tools while validating outputs for correctness and security
• Apply SDLC best practices and automate where possible

Skills

Python

Node.js

Java

Groovy

SQL

Big Data

Git

CI/CD

Problem Solving

Communication

Tools

CI/CD Tools

Git

Job description

JOB DESCRIPTION

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer II at JPMorgan Chase within the TaxSmart platform team, you will be responsible for supporting critical multi-year initiatives. You should be able to work with the team and the stakeholders to build a plan for these initiatives, think through the various flavors of testing that might be needed to ensure platform delivery, quality and stability. You would be accountable for creating, executing and automating test cases and also, at times, contribute to non functional testing.

Job responsibilities

• Develop and maintain reusable automated frameworks, tooling and utilities
• Collaborate with cross-functional teams and business users to understand application requirements and ensure comprehensive test coverage.
• Write and test features developed manually and then invest in incentivising automation
• Collaborate with the release and devOps teams to support pre and post deployment tests
• Collaborate with the business users, tradeOps team, vendors etc to support UAT needs as applicable
• Develop and conduct non functional testing
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Experience in quality having run complex initiatives in fintech organizations
• Good understanding of AWM functioning and trading
• Strong programming skills in Python, NodeJS, Java, Groovy, SQL, big data and an appetite to be able work on diverse technology at scale
• Experience with version control systems (e.g., Git) and CI/CD tools.
• Excellent problem-solving, communication, collaboration and presentation skills to work effectively in a team environment
• Good understanding of industry best practices around QE and dev around SDLC, metrics, release management etc
• Excellent team player
• 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.

Preferred qualifications, capabilities, and skills

• Experience in the asset, wealth management domain is preferred