Senior Lead Software Engineer - Java Kafka Cloud

JPMorganChase; Mumbai; Presencial; INR 1.200.000 - 2.100.000; Jornada completa

Descripción de la vacante

JPMorganChase is seeking a Senior Lead Software Engineer in Payments Technology to drive the design, development, and delivery of secure, scalable technology products. You will guide teams, review production code, and champion AI-assisted engineering practices to enhance quality and speed across the SDLC.

You will influence product design and operational processes while mentoring senior engineers and contributing to engineering community initiatives.

Formación

• Proven expertise in building large scale & high throughput applications.
• Proficient in Java, Spring Boot, Kafka & cloud native applications.
• Proficient in distributed systems and parallel processing.
• Proficient in Performance Analysis and Tuning with Java profiling/monitoring tools.
• Experience leading use of enterprise AI-assisted software development tools and setting team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, secure handling, resiliency and security.
• Ability to tackle design and functionality problems independently with minimal oversight.

Responsabilidades

• Regularly provides technical guidance to business and technical teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews code written by others.
• Drives adoption and governance of AI-assisted engineering practices to improve quality, speed, and operations; establishes validation standards.
• Applies knowledge of SDLC tools, including AI-assisted development, to improve value from automation at scale.
• Drives decisions influencing product design, application functionality, and technical operations.
• Serves as function-wide subject matter expert in focus areas of engineering.
• Advocates for firmwide frameworks, tools, and practices in the Software Development Life Cycle.

Conocimientos

Java

Spring Boot

Kafka

Cloud-native

Distributed systems

Performance analysis

AI-assisted tools

Secure coding

Leadership

Herramientas

SDLC tools

Profiling tools

Monitoring tools

Descripción del empleo

Be an integral part of an agile team thats constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Payments 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

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

• Proven expertise in building large scale & high throughput application
• Proficient in Java, Spring Boot, Kafka & cloud native applications
• Proficient in distributed systems and parallel processing
• Proficient in Performance Analysis and Tuning (Working knowledge of Java based Profiling and Monitoring Tools)
• 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

Preferred qualifications, capabilities, and skills

• Working experience of Kafka Streams, Even Driven Architecture, Microservices Architecture
• Good understanding of Behavior driven design
• Understanding of Kubernetes, APIGEE gateway and cloud services
• Working knowledge of agentic workflows
• Proven production deliverables in agentic AI
• Hands-on across the modern AI toolchain