Lead Software Engineer Java AWS AI

Security Capital Research; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JP Morgan Chase in Bengaluru invites a Lead Software Engineer to join the API Marketplace within Consumer and Community Banking Technology. You will be a core technical contributor delivering secure, scalable software and guiding architectural decisions across teams.

You will drive AI-assisted engineering practices, lead complex design reviews, and ensure high-quality production code, with emphasis on secure coding, cloud native delivery using Kubernetes and AWS, and strong collaboration with

Qualifications

• Formal training or certification in software engineering with 5+ years of hands-on experience.
• Experience delivering system design, application development, testing, and operational stability.
• Strong knowledge of cloud, AI-assisted development and secure coding practices.

Responsibilities

• Design and implement software solutions; troubleshoot complex problems.
• Develop secure, high-quality production code and conduct code reviews.
• Promote AI-assisted development practices to improve code quality and delivery speed.
• Apply SDLC tools and automation to improve value.
• Identify and automate recurring issues to improve stability.
• Lead architecture evaluations with vendors and teams.

Skills

Java

Python

Kubernetes

AWS

AI in development

Code review

CI/CD

Security

Agile

Observability

Education

Software engineering certification

Tools

Grafana

Dynatrace

Kubernetes tooling

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 JPMorganChase within the API Marketplace in Consumer and Community Banking Technology, 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) like Java, Python
• Hand-on experience with using Kubernetes and AWS services (S3, Athena, Glue).
• Demonstrated experience using AI to derive inferences from data, and familiarity with AI Agents, MCP.
• 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
  

Preferred qualifications, capabilities, and skills

• Familiarity with Observability Tools like Grafana, Dynatrace for system monitoring and alerting(business/infrastructure)