Lead Software Engineer - Java/Python

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

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

You will collaborate with an agile team, contribute hands-on code, and establish engineering standards across platforms and environments. You will drive architecture work across APIs, data, and services, while partnering with Data Science to move models into reliable, observable services.

Qualifications

• 9+ years of software engineering experience with enterprise solutions.
• Strong hands-on design and delivery of end-to-end architectures.
• Expertise in Java 11/17+ and Spring Boot microservices.
• Proficiency in Python for services, automation, and data/ML tasks.
• Experience with distributed systems and event-driven patterns.
• Knowledge of CI/CD, testing, and secure-by-design delivery.
• Familiarity with AI/ML integration and MLOps concepts.

Responsibilities

• Own end-to-end solution architecture across applications, APIs, data, integrations, and environments.
• Translate business requirements into high- and low-level designs with clear trade-offs.
• Define integration patterns and service contracts (REST/gRPC) with versioning and SLAs.
• Contribute Java/Spring Boot and Python code for reference implementations and POCs.
• Lead design spikes, performance investigations, and root-cause analysis.
• Drive production issue triage and sustainable fixes with operational learning.
• Establish engineering standards via reusable components and templates.
• Design production patterns for AI/ML capabilities and model deployment.
• Collaborate with Data Science to move models to scalable, observable services.
• Implement responsible AI controls and secure-by-design SDLC practices.
• Define and deliver NFRs for availability, latency, scalability, and observability.

Skills

Java/Spring Boot

Python

Distributed systems

API design

CI/CD

Security mindset

MLOps

DevOps

Communication

Kubernetes

Tools

Kafka

Redis

Docker

Kubernetes

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 Senior 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).A