Lead Software Engineer - Lead Software Engineer - Java, AWS, Kafka, Apache Flink

JPMorgan Chase & Co.; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

JPMorganChase in Hyderabad seeks a Lead Software Engineer to drive design, development, and secure production code across microservices and AI-assisted tooling in a fast‑moving financial services environment. You will lead critical initiatives, collaborate with vendors and internal teams, and advance cloud, data streaming, and resilient architecture while upholding security and reliability standards.

This role demands strong governance of SDLC, CI/CD, and high TPS streaming platforms, with a

Qualifications

• 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.
• Proficiency in back-end technologies (e.g., Java, Springboot, Node.js) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
• Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
• Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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.
• Proficient in all aspects of the Software Development Life Cycle including agile methodologies such as CI/CD, Application Resiliency, and Security.
• Led design and delivery of Kafka-based event streaming platforms/services in high-throughput environments; deep experience with event-driven architecture patterns and distributed systems reliability.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine to build solutions or break down technical problems.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of effective patterns across the team.
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to 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 and applicability within existing systems.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.

Skills

Java

Spring Boot

Node.js

Microservices

RESTful APIs

Cloud platforms

AKI-assisted engineering

CI/CD

Security

Agile

Education

Software engineering certification

Tools

Kafka

Spark

Flink

Docker

AWS

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 Consumer and Community Banking, 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 break down technical problems
• Develops secure 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

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
• Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
• Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
• Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
• 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 including advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Led design and delivery ofKafka-based event streamingplatforms/services inhigh-throughput (high TPS)environments; deep experience withevent-driven architecturepatterns and distributed systems reliability. Proven ability tolead technical direction: drive architecture decisions, write/own design docs, align stakeholders, and deliver through ambiguity.
• Experience improvingoperability(SLOs/SLAs, on-call readiness, monitoring, incident response, postmortems) for streaming systems. Hands-on experience building and operatinghigh-volume data processing pipelinesusingApache Spark (Spark SQL, Structured Streaming)and/orApache Flink(DataStream/Table API) in production.

Preferred qualifications, capabilities, and skills

• Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
• Strong problem-solving, analytical, and communication skills.
• Ability to drive broader impact by sharing and contributing best practices.
• AWS certification.