Lead Software Engineer - Full Stack/AI Engineering Focus

Aumni; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Lead Software Engineer to join the Digital & Platform Services team.

You will drive end-to-end delivery of scalable, secure platform capabilities and features, leading cloud-native microservices and API-first development across backend and frontend stacks.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 10+ years of hands-on software engineering experience building and supporting enterprise-scale applications.
• Strong expertise designing and developing backend services using Java, Spring Boot, distributed systems, and microservice architectures.
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to validate AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows; coaching engineers on safe, compliant adoption.
• Hands-on experience building and consuming APIs using REST and/or GraphQL.
• Strong experience with relational databases, SQL optimization, and data access patterns.
• Experience implementing event-driven and streaming architectures using Kafka.
• Experience building modern frontend applications using React and TypeScript.
• Experience with observability and operational tooling (Splunk, Grafana, Kibana, ELK, OpenTelemetry, Postman).
• Proficiency with modern engineering tooling including Git, GitHub, Maven, Jenkins, SonarQube, IntelliJ IDEA, VS Code, Jira, Confluence.

Responsibilities

• Design, develop, and deliver scalable, secure, and resilient full-stack solutions using Java/Spring Boot, React, and TypeScript.
• Own the end-to-end delivery lifecycle for strategic platform capabilities and application features.
• Lead the design and development of cloud-native, containerized microservices and platform services.
• Drive technical architecture and design decisions across the technology stack.
• Build and enhance high-performance backend services and APIs (REST/GraphQL).
• Develop modern operational interfaces using React and TypeScript to improve usability.
• Design and implement event-driven architectures leveraging Kafka.
• Champion engineering excellence through code reviews, troubleshooting, and mentoring.
• Lead initiatives to improve application reliability, observability, and operational stability.
• Leverage AI-assisted engineering tools to accelerate software delivery and improve code quality.
• Evaluate and implement AI-powered solutions to optimize software development and engineering processes.

Skills

Java/Spring Boot

Backend architecture

REST/GraphQL

React/TypeScript

Kafka

AI-assisted tooling

Code reviews/refactoring

Security/observability

Cloud-native/microservices

Distributed systems

DevOps tooling (Git, Jenkins, Maven)

Tools

Kafka

Elasticsearch/OpenSearch

React

TypeScript

Spring Boot

GitHub

Maven

Jenkins

SonarQube

OpenTelemetry

Postman

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Digital & Platform Services team, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Design, develop, and deliver scalable, secure, and resilient full-stack solutions using Java/Spring Boot, React, and TypeScript, applying strong engineering judgment to meet functional and non-functional requirements while solving complex business and technical challenges.
• Own the end-to-end delivery lifecycle for strategic platform capabilities and application features, including requirements analysis, solution design, development, testing, deployment, production support, and continuous improvement.
• Lead the design and development of cloud-native, containerized microservices and platform services, emphasizing domain-driven design, API-first development, performance optimization, security, maintainability, and operational excellence.
• Drive technical architecture and design decisions across the technology stack, collaborating with product managers, architects, and engineering teams to ensure alignment with enterprise architecture standards and long-term technology strategies.
• Build and enhance high-performance backend services and APIs (REST/GraphQL), integrating with enterprise platforms, relational databases, search technologies, and distributed data systems.
• Develop modern operational and administrative user interfaces using React and TypeScript, delivering intuitive experiences that improve platform usability, productivity, and supportability.
• Design and implement event-driven and streaming architectures leveraging Kafka, including event modeling, schema governance, topic strategy, and resilient producer-consumer patterns to enable scalable and loosely coupled systems.
• Champion engineering excellence through code reviews, troubleshooting, refactoring, performance tuning, and mentoring, while raising quality standards across the team.
• Lead initiatives to improve application reliability, observability, and operational stability through automation, proactive monitoring, distributed tracing, incident management, root cause analysis, and continuous reduction of technical debt.
• Leverage enterprise-approved AI-assisted engineering tools and platforms to accelerate software delivery, improve developer productivity, automate repetitive tasks, and enhance code quality while adhering to established governance, security, and validation practices.
• Evaluate, design, and implement AI-powered and agentic solutions that optimize software development, operational workflows, system support, and engineering processes, ensuring measurable business and productivity outcomes.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 10+ years of hands‑on software engineering experience building and supporting enterprise-scale applications.
• Strong expertise designing and developing backend services using Java, Spring Boot, distributed systems, and microservice architectures.
• 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
• Hands‑on experience building and consuming APIs using REST and/or GraphQL.
• Strong experience with relational databases, SQL optimization, and data access patterns.
• Experience implementing event-driven and streaming architectures using Kafka or equivalent messaging platforms.
• Experience building modern frontend applications using React and TypeScript.
• Experience with observability and operational tooling such as Splunk, Grafana, Kibana, ELK, OpenTelemetry, Postman, or equivalent platforms.
• Proficiency with modern engineering tooling including Git, GitHub, Maven, Jenkins, SonarQube, IntelliJ IDEA, VS Code, Jira, and Confluence.

Preferred qualifications, capabilities, and skills

• Working knowledge of Python with experience using Python for automation, data processing, or AI-enabled solutions is highly desirable
• Experience designing and deploying AI agents and agentic workflows for software engineering, operations, or business process automation.
• Understanding of Model Context Protocol (MCP) and modern AI integration patterns.
• Knowledge of prompt engineering techniques, AI workflow design, and human-in-the-loop systems.
• Experience creating agentic automations that improve SDLC productivity, testing, code reviews, documentation generation, CI/CD operations, or incident management.
• Demonstrated ability to establish governance, validation, and quality controls for AI-generated code and solutions.
• Working knowledge of Elasticsearch/OpenSearch, including index design, query optimization, and operational 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

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team