Lead Software Engineer -QA Automation

JPMorgan Chase & Co.

Bengaluru

On-site

INR 3,000,000 - 5,000,000

Full time

3 days ago
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Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Bengaluru to guide agile teams in designing and delivering secure, scalable market-leading technology products. The role emphasizes AI-assisted coding, architecture, data-driven improvements, and collaboration across functional teams.

You will contribute to enterprise-grade software solutions within a large corporate environment, ensuring robust delivery and operational stability.

Qualifications

  • Formal training or certification in software engineering concepts and 7+ years of applied experience.
  • Hands-on design, development, testing and operation stability experience.
  • Proficiency in one or more programming languages.

Responsibilities

  • Executes software solutions with design, development and troubleshooting across domains.
  • Creates secure, high-quality production code and maintains algorithms.
  • Utilizes enterprise AI coding assist tools to improve code quality and speed, with peer review and testing.
  • Applies SDLC tools and AI-assisted development to enhance automation value.
  • Produces architecture/design artifacts for complex apps and ensures design constraints are met.
  • Gathers and analyzes data to visualize insights for software improvements.
  • Identify hidden data patterns to improve coding hygiene and system architecture.
  • Contributes to engineering communities of practice and events on new tech.
  • Defines a team culture of diversity, inclusion and respect.

Skills

Software engineering
CI/CD
Agile methodologies
AI-assisted development

Job description

  • Business Unit Commercial & Investment Bank
  • Job Schedule Full time
Job Description

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

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down 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
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 7+ years applied experience

Hands-on practical experience in system design, application development, testing, and operational stability

Proficient in coding in one or more languages

  • 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.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
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