
at J.P. Morgan
Bulge Bracket Investment BanksPosted 13 days ago
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**Lead Software Engineer (experienced with .NET & AWS) needed for JPMorgan Chase.** - **Key Responsibilities**: Develop, secure, and optimize production code; innovate software design; analyze and visualize data for improvements; drive AI-assisted engineering practices; collaborate in agile teams. - **Required Skills & Experience**: Proven software engineering background (5+ years); proficient in .NETCore, SQL; experience in AWS cloud, microservices, Kubernetes, Docker; strong low-level design and implementation skills. - **Preferred Skills**: Knowledge of capital markets, securities processing, and custody; proficiency in React JS; experience with financial domain integration.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
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 firms 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
- 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
- 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.
- 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
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in Microsoft .NETCore and SQL
- Hands on experience on micro services based architecture, kubernetes, Docker, Terraform/cloud formation etc. Design, building, configuring and maintaining cloud services to meet business needs
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Excellent Low Level Design and Implementation. Able to work independently with distributed development team and user base
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud (AWS, Azure etc) , artificial intelligence, maFchine learning, mobile, etc.)
- 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
- General Capital markets, Securities Processing and Custody knowledge is highly desirable along with Automation, DevOps, SDLC & Agile methodologies
- Nice to have Proficiency on - React JS & Related Technologies, Entity Framework,. Knowledge of Heterogeneous Platforms Integration, Knowledge of Financial Domain



