Senior Lead Software Engineer - Java Fullstack, AWS, AI - Business Banking

JP Morgan Chase; Hyderabad; In loco; INR 3.500.000 - 6.500.000; Tempo pieno

Descrizione del lavoro

JP Morgan Chase in Hyderabad seeks a Senior Lead Software Engineer (Java Fullstack) to join the Business Banking technology team. You will work in an agile environment to push innovative, secure, scalable technology products and improve delivery through AI-assisted engineering practices and robust SDLC governance.

The role requires strong Java 8+/Spring Boot, microservices, React/Angular, and deep experience in AWS, CI/CD, and observability tooling, with a focus on reliable, production-ready

Competenze

• Formal training or certification on software engineering concepts.
• Experience with AI-assisted engineering tools across the SDLC.

Mansioni

• Drives adoption and governance of AI-assisted engineering practices across teams to improve code quality and delivery speed.
• Regularly provides technical guidance to business teams and contractors.
• Develops secure production code and reviews code written by others.
• Contributes to engineering community and firmwide frameworks.

Conoscenze

Java 8+

Spring Boot

Microservices

React/Angular

Kafka

CI/CD

AWS

Observability tools

Formazione

Software engineering training or certification

Strumenti

Dynatrace

Splunk

Grafana

Kafka

SQL databases

Descrizione del lavoro

Senior Lead Software Engineer - Java Fullstack, AWS, AI - Business Banking

Job Information

• Job Identification 210804655
• Job Category Software Engineering
• Business Unit Consumer & Community Banking
• Posting Date 11/03/2026, 12:07 PM
• Locations MAGMA,UNIT-1,PHASE-IV,SY NO.83/1,PLOT NO 2, GR Floor TO 2 Floor and 5 Floor TO 16 Floor,Basement 1,2, Hyderabad, IN-TG, 500081, IN
• Apply Before 11/09/2026, 05:00 AM
• Job Schedule Full time

Job Description

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 JPMorgan Chase within the Consumer and community banking technology - Business Banking team, 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

• 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.
• 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 decisions that influence 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
• Demonstrated experience using approved AI-assisted engineering tools and practices across the software development lifecycle, with an understanding of validation, secure coding, peer review, automated testing, and responsible adoption at scale.
• 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.
• Deep expertise inJava 8+ / Spring Boot, microservices, andReact/Angular.
• Strong Kafka/event-driven architecture experience (retries, idempotency, DLQ patterns, schema/versioning).
• Experience with SQL databases with data modelling, query optimization and performance tuning.
• Strong experience withCloud Foundry/AWSand CI/CD strategy and execution.
• Ability to work with tools such as Dynatrace, Splunk, Grafana for observability and monitoring
• Experience building applications with resilient, highly available architectures, including consideration for failure modes, recovery, and operational readiness.

Preferred qualifications, capabilities, and skills

Working knowledge of secure engineering practices and designing to meet Cyber Security and Technology Control requirements (e.g., authentication/authorization, secure APIs, data protection, dependency hygiene).

• Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.