Lead Software Engineer - Java & Python, AI/ML Microservices

Aumni; Jersey City (NJ); On-site; USD 170,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to design, develop, and deliver innovative software solutions within Corporate Technology.

You will collaborate with an agile team to enhance secure and scalable products, contributing across the full software development lifecycle. You will own end-to-end architecture, implement production-ready patterns, and partner with Data Science teams to deploy AI/ML capabilities.

Qualifications

• 9+ years of software engineering experience required.
• Strong hands-on in enterprise end-to-end delivery.

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 decisions.
• Define integration patterns and cross-service contracts (REST/gRPC, event-driven).
• Provide hands-on leadership by contributing Java/Spring Boot and Python code for reference implementations and POCs.
• Lead design spikes and performance investigations to validate approaches and resolve risks.
• Drive complex production issue triage and root cause analysis for sustainable fixes.
• Establish and maintain engineering standards via reusable patterns and components.
• Design and deliver production patterns for AI/ML capabilities and feature pipelines.
• Partner with Data Science to move models to reliable, observable services.
• Implement responsible AI controls with traceability and human oversight where required.
• Define and deliver NFRs and operational excellence with secure-by-design SDLC/audit.

Skills

Java Spring

Python

Distributed systems

CI/CD

Security mindset

Communication

Tools

Kafka

Redis

Job description

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to design, develop, and deliver innovative software solutions within Corporate Technology.

You will collaborate with an agile team to enhance secure and scalable products, contributing across the full software development lifecycle. You will own end-to-end architecture, implement production-ready patterns, and partner with Data Science teams to deploy AI/ML capabilities.