Lead Software Engineer Java Spring boor Gen AI

Lead Software Engineer Java Spring boor Gen AI

Mumbai, Maharashtra, India

APPLY NOW

JOB INFORMATION

Job Identification

210792019

Job Category

Software Engineering

Business Unit

Corporate Sector

Posting Date

09/25/2026, 02:46 PM

Locations

One Central Avenue, Downtown Powai, Mumbai, Maharashtra, Mumbai, IN-MH, 400076, IN

Apply Before

10/09/2026, 09:30 AM

Job Schedule

Full time

Job Shift

Day

JOB DESCRIPTION

Join us to advance your software engineering career while building impactful technology solutions. Grow your skills and make a difference with a collaborative team.

As a Lead Software Engineer at JPMorgan Chase within the CORPORATE TECHNOLOGY team, you will design, develop, and deliver innovative software solutions. You will collaborate with an agile team to enhance technology products in a secure and scalable way. You will gain hands-on experience across the software development lifecycle. You will contribute to a supportive team culture focused on growth and technical excellence.

Job responsibilities

Own end-to-end solution architecture across applications, APIs, data, integrations, and environments (dev → prod).

Convert business requirements into target-state architecture, HLD, and LLD with clear trade-offs and documented decisions.

Define integration patterns and cross-service contracts (REST/gRPC, event-driven), including versioning, compatibility, and SLAs.

Provide hands-on technical leadership by contributing Java/Spring Boot and Python code for reference implementations, critical paths, and POCs to production.

Lead design spikes and performance investigations to validate approaches and resolve complex technical risks.

Drive complex production issue triage and root cause analysis, ensuring sustainable fixes and operational learning.

Establish and maintain engineering standards through reusable patterns, templates, and shared components.

Design and deliver production patterns for AI/ML capabilities (batch + real-time inference, feature pipelines, evaluation, monitoring).

Partner with Data Science teams to move models from experimentation to reliable, scalable, observable services.

Implement responsible AI controls (traceability, testing/evaluation, approvals, and appropriate human oversight where required).

Define and deliver NFRs and operational excellence (availability, latency, throughput, scalability, resiliency, RTO/RPO, capacity planning, observability/SLOs/runbooks) with secure-by-design and SDLC/audit compliance.

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 9+ years applied experience

Strong hands-on experience designing and delivering enterprise solutions end-to-end.

Java 11/17+ expertise, including Spring Boot microservices, API design, and testing practices.

Python 3.x expertise for services, automation, and data/ML integration.

Proven distributed systems experience: microservices, event-driven architecture, and messaging/streaming (Kafka or equivalent).

Strong data architecture fundamentals: relational/NoSQL patterns, caching (e.g., Redis), data consistency, and schema evolution.

Practical experience productionizing AI/ML: inference patterns, model packaging/serving, and monitoring/drift fundamentals.

Working knowledge of MLOps concepts and operational model lifecycle management.

DevOps delivery mindset

CI/CD, automated testing (unit/integration/contract), and release/rollback strategies.

Strong security and resiliency mindset suitable for regulated environments. Excellent communication and influence skills—able to explain trade-offs and align stakeholders.

Preferred qualifications, capabilities and skills

Kubernetes/container platforms and cloud-native patterns (autoscaling, config/secrets, service-to-service security).

GenAI experience (LLMs, RAG, vector search, evaluation frameworks, prompt/model governance) where applicable.

Modernization experience (monolith decomposition, strangler patterns, incremental migration).

Advanced production readiness/observability practices (SRE-style monitoring, readiness reviews, operational rigor).

APPLY NOW

Similar Jobs

Lead Software Engineer - React UI & Java

Mumbai, Maharashtra, India Posted on 09/25/2026

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Lead Software Engineer - Java, Python and AIML

Bengaluru, Karnataka, India and 1 more Posted on 09/09/2026

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

VP - Sr Lead Software Engineer - Agentic AI

Mumbai, Maharashtra, India Posted on 09/09/2026

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications