Lead Software Engineer - iOS Developer

JPMorgan Chase; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

JPMorgan Chase in Bengaluru is seeking a Lead Software Engineer to drive design, development, and delivery of trusted financial technology solutions within a secure, scalable framework. You will lead agile teams, adopt AI-assisted engineering practices, ensure code quality and operational stability, and collaborate with vendors and internal groups to meet business goals.

The role demands strong cloud-native expertise, advanced programming skills, and deep knowledge of CI/CD, security, and

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied experience in software development and operations.
• Experience delivering system design and production-grade applications.
• Experience leading teams using AI-assisted development tools.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure, high-quality production code and reviews colleagues' work.
• Drives adoption of AI-assisted engineering practices to improve code quality and speed.
• Applies SDLC tools and AI-enabled automation to improve value.
• Identifies opportunities to automate recurring issues for stability.
• Leads evaluation sessions with vendors and internal teams on architecture and credentials.

Skills

AI-assisted software development

System design leadership

Cloud native

CI/CD

Secure coding practices

Programming languages

Team leadership

Education

Software engineering degree or equivalent

Tools

SDLC tools

AI-assisted development tools

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 Consumer and community banking technology team, 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 with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience