Lead Software Engineer - Backend Java, Markets Tech

JPMorgan Chase; Jersey City (NJ); On-site; USD 157,000 - 215,000; Full time

Job summary

JPMorgan Chase in Jersey City, NJ is seeking a Lead Software Engineer to join an agile team delivering trusted market-leading technology products in a secure, scalable way. You will contribute as a core technical member supporting the Equities Broker Dealer and Prime Finance platforms, including securities lending, trade lifecycle, and clearing & settlement.

The role emphasizes integrating AI/ML and GenAI into enterprise platforms, adhering to secure coding, testing, and SDLC practices, and

Qualifications

• 5+ years of software engineering experience in large-scale enterprise environments
• Hands-on experience delivering system design, application development, testing, and operational stability
• Proficiency in Java, Spring Boot and REST APIs in microservices architecture
• Strong experience with relational databases (Oracle/DB2) and/or NoSQL (MongoDB), CI/CD pipelines
• Proficient in SDLC, testing, and production readiness
• Strong problem-solving, analytical and stakeholder communication skills
• Experience integrating AI/ML and GenAI into enterprise apps (LLMs, RAG, embeddings, vector stores, MLOps)
• Experience leading use of AI-assisted development tools with secure validation practices
• Strong understanding of responsible AI, data sensitivity, security and resiliency
• Experience across cross-functional teams in complex enterprises
• Cloud-native development (AWS) exposure
• Exposure to Prime Finance, Securities Lending, or Broker Dealer platforms
• Event-driven architectures (Kafka, MQ) experience
• Frontend familiarity (React, UI frameworks)
• Domain-driven design, full-stack development and modern architecture patterns
• Observability tools experience (Splunk, Grafana, Prometheus, ELK)
• Interest in AI-assisted development, automation and analytics

Responsibilities

• Executes creative software solutions with scalable design across distributed systems and microservices
• Develops secure, high-quality production code and reviews peers' work
• Builds and integrates AI/ML/GenAI into production platforms (LLMs, RAG, embeddings, vector databases)
• Identifies opportunities to improve stability, resiliency, and performance of applications
• Drives architecture and design decisions for scalability and platform evolution
• Leads evaluation sessions with teams to align designs with tech strategy
• Contributes to platform modernization via cloud-native, event-driven, microservices architectures
• Partners with business and operations to translate requirements into technical solutions
• Ensures robust SDLC adherence and production stability
• Drives enterprise AI-assisted engineering practices with validated AI outputs and reuse of patterns
• Applies SDLC tools and automation to increase value of automation

Skills

Java

Spring Boot

REST APIs

Oracle/DB2

MongoDB

CI/CD pipelines

SDLC

Problem solving

AI/ML integration

LLMs

RAG pipelines

Embeddings

Vector stores

MLOps

AI-assisted tools

Responsible AI

Cross-functional collaboration

Cloud-native / AWS

Kafka

MQ

React

UI frameworks

Domain-driven design

Observability tools

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 Lead Software Engineer at JPMorgan Chase, 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. As a core technical contributor, you are responsible for delivering critical technology solutions supporting the Equities Broker Dealer and Prime Finance platform, including securities lending, trade lifecycle, and clearing & settlement capabilities, in alignment with the firm's business objectives. You will also integrate AI/ML and GenAI capabilities into core platforms in a way that is secure, governable, and operable at enterprise scale.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with the ability to solve complex problems and deliver scalable solutions across distributed systems and microservices architectures

• Develops secure, high-quality production code, and reviews and debugs code written by others to ensure engineering excellence

• Build and integrate AI/ML and GenAI into production platforms-LLMs, RAG, embeddings, vector databases, and MLOps for lifecycle management, monitoring, and governance.

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, resiliency, and performance of applications

• Drives architecture and design decisions influencing system scalability, performance, and long‑term platform evolution

• Leads evaluation sessions with internal teams and stakeholders to assess architectural designs and ensure alignment with enterprise technology strategies

• Contributes to platform modernization through adoption of cloud‑native, event‑driven, and microservices‑based architectures

• Partners with business, product, and operations teams to translate Prime Finance and Broker Dealer requirements into scalable technical solutions

• Ensures robust delivery across environments with strong focus on SDLC, testing (unit, SIT, UAT), and production stability

• Drives team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience

• Hands‑on practical experience delivering system design, application development, testing, and operational stability in large‑scale enterprise environments

• Advanced proficiency in Java, Spring Boot and REST APIs programming language within microservices in a distributed systems architecture

• Strong experience withRelational databases (Oracle/DB2) and/or NoSQL (MongoDB) and CI/CD pipelines, DevOps, and automation practices

• Proficient in all aspects of the Software Development Life Cycle (SDLC)

• Strong problem‑solving, analytical, and stakeholder communication skills

• Demonstrated proficiency in building high‑volume, low‑latency, mission‑critical financial systems

• Hands‑on experience integrating AI/ML and GenAI into enterprise applications, including LLMs, RAG pipelines, embeddings, vector stores/databases, model evaluation, and production monitoring (MLOps).

• Demonstrated experience leading effective use of approved AI‑assisted software development tools (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 engineers on safe, compliant adoption within delivery practices

• Practical experience working across cross‑functional teams in complex enterprise organizations

Preferred qualifications, skills, and capabilities

• Cloud‑native development (AWS or equivalent)

• Exposure to Prime Finance, Securities Lending, or Broker Dealer platforms

• Experience with event‑driven architectures (Kafka, MQ) and messaging systems

• Familiarity with modern front‑end technologies (React, UI frameworks)

• Exposure to domain‑driven design, full‑stack development, and modern architectural patterns

• Experience with observability tools (Splunk, Grafana, Prometheus, ELK)

• Interest in adopting emerging technologies (AI‑assisted development, automation, advanced analytics)

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.

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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary

Jersey City,NJ $156,750.00 - $215,000.00 / year