Senior Lead Software Engineer

JP Morgan Services India Pvt Ltd; Mumbai; Presencial; INR 2.500.000 - 4.500.000; Jornada completa

Descripción de la vacante

JPMorgan Chase is seeking a Senior Lead Software Engineer to join an agile team delivering trusted, scalable technology products. You will guide multiple teams, drive AI-assisted practices, and ensure secure, reliable software across the SDLC.

The role emphasizes hands-on Java development, cloud-native architectures, and leadership of engineers. You will Collaborate with stakeholders to shape design and ensure operational stability in a large financial services environment.

Formación

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in Java.
• Experience leading with AI-assisted software development tools and setting team expectations for validation.

Responsabilidades

• Provides technical guidance to business and technical teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' code.
• Drives adoption of AI-assisted engineering practices to improve code quality, speed, and reliability.
• Applies SDLC toolchain knowledge to improve value of automation and tooling.
• Influences product design, application functionality, and technical operations.
• Acts as a subject matter expert across engineering when needed.

Conocimientos

Java

AI-assisted dev

Secure coding

Cloud native

System design

Leadership

Educación

Bachelor's degree in Computer Science or related field

Descripción del empleo

Sr Lead Software Engineer Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Commercial and 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.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

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) - Java
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities, and skills

• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Experience Level Senior Level