Lead Software Engineer - Java/Python

JPMorgan Chase & Co.
Jersey City, NJ, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
9 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Cloud Engineering Continuous Integration Data Architecture DevOps Distributed Systems Python (Programming Language) Machine Learning NoSQL
+20 more
Systems Development Life Cycle Redis Search Technologies Software Engineering Software Systems Data Streaming Management of Software Versions Autoscaling Retrieval-Augmented Generation Large Language Models Spring-boot Caching Event Driven Architecture Containerization Kubernetes Low Latency Apache Kafka Machine Learning Operations Api Design Microservices

Job description

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., * 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.

Requirements

  • 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., * 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

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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