Lead Software Engineer Java, Spring Boot, AI/ML

JP Morgan Chase; Hyderabad City Taluka; In loco; PKR 3.000.000 - 6.000.000; Tempo pieno

Descrizione del lavoro

JPMorganChase is seeking a Lead Software Engineer to join the Corporate Technology LOB. You will be a core technical contributor delivering trusted market-leading technology products in a secure, scalable way, and you will lead enterprise AI-assisted engineering practices.

You will guide design, development, testing, and operational stability across multiple business functions, with emphasis on secure coding, automation, and modern SDLC methodologies.

Competenze

• 12+ years of software engineering experience.
• Experience delivering system design, development, testing, and operations.
• Proficiency in Java, Spring Boot and React JS.
• Cloud native experience and AI-assisted development tooling.

Mansioni

• Executes creative software solutions and technical troubleshooting.
• Develops secure and high-quality production code and reviews peers' code.
• Drives adoption of enterprise AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools and automation to improve value and reduce manual work.
• Identifies opportunities to automate remediation and improve stability of apps.
• Leads evaluation sessions with vendors and internal teams on architecture and fit.

Conoscenze

Java

Spring Boot

React JS

AI-assisted tools experience

CI/CD

Agile methodologies

Secure coding practices

Cloud native

SDLC understanding

Financial services IT knowledge

Strumenti

AI-assisted development tools

Descrizione del lavoro

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 Corporate Technology LOB, 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 12+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) Java, Spring Boot, React JS
• 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