Sr. Lead Software Engineer - Java/Back-End

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer in the Consumer & Community Banking division to mentor multiple agile teams, drive secure Java/Spring API development, and advance AI-assisted engineering practices.

You will influence architecture, design, and SDLC governance to deliver scalable, secure financial risk technologies. The role requires strong experience in cloud-native microservices, API design, and secure coding, with a track record of delivering high-throughput

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Experience with architecture, design patterns, and secure coding practices.
• Proven ability to lead API, microservices, and cloud-native development.
• Strong knowledge of REST/SOAP, databases, and AI-assisted development practices.

Responsibilities

• Mentor and guide multiple agile teams and contribute to risk technology initiatives.
• Develop secure, high-quality production code and review peers' work.
• Shape product design, functionality, and operations decisions across the program.
• Serve as a subject-matter expert across focus areas and promote SDLC best practices.
• Advocate for AI-assisted development practices to improve quality and delivery speed.
• Build low-latency, high-throughput APIs and event-driven systems for high transaction volumes.
• Profile and optimize existing code, including work by teammates.

Skills

Architecture

Design patterns

Security fundamentals

Secure coding

Code review

Unit testing

Integration testing

Contract testing

Test automation

JUnit

Mockito

Spring Test

AWS SDKs

Kafka

Cassandra

Oracle

GraalVM

TLS 1.3

REST

SOAP

API design

JSON

XML

MyBatis

Hibernate

CockroachDB

Kubernetes

Docker

EKS

Terraform

CloudFormation

AI-assisted tooling

Responsible AI

Redis

SQL

NoSQL

Observability

Kerberos

OAuth2

ADFS

Envoy

HAProxy

OWASP

Spring Boot

SLF4J

Jackson

Hystrix

JMS

Job description

When you mentor and advise multiple agile technical teams and move financial risk technologies forward, it’s a big challenge with big impact. Join our team and be an integral part of our agile organization to deliver the best risk solutions for the firm. As a Senior Lead Software Engineer at JPMorgan Chase within Consumer & Community Banking, 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Lead the architecture, design, and development of Java/Spring‑based framework APIs and shared components that enable rapid, secure service development across multiple LOBs.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Build low‑latency, high‑throughput APIs and event‑driven systems optimized for extreme transaction volumes and near‑zero downtime.
• Profiling, identifying, and optimizing existing code—including code developed by other team members.

Required Qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience withstrongarchitecture, design patterns, engineering best practices,analysis, design, security fundamentals, secure coding practices, and code review skills for internet applications.
• Experience withunit, integration, contract testing; experience with test automation frameworks and pipelines (JUnit, Mockito, Spring Test).
• Expertise inunderlying third‑party SDKs/components and protocols: AWS SDKs, HTTP connections, IBM MQ, Kafka, Cassandra, Oracle, GraalVM, TLS 1.3.
• Proficiency in service development using REST and SOAP, strong API design fundamentals; JSON/XML messaging and SOA.
• Knowledge of Databases andData access frameworks like MyBatis, Hibernate, Oracle, Cassandra, CockroachDB.
• Ability to build with cloud‑native microservices at scale: with Kubernetes/Docker/EKS, service discovery, configuration management; AWS services including NLB, ALB, SQS, Redis, S3, Route 53, API/NAT Gateways, Secrets Manager, IAM, VPC; IaC with Terraform and CloudFormation.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Familiarity with Messaging and event streaming API's (Kafka), caching (Redis), and familiarity with both SQL and NoSQL datastores.
• Exposure with observability tooling and practices (metrics, tracing, logs) and performance benchmarking at scale.
• Proficiency in Network/Security: Kerberos, TLS 1.3, OAuth2, ADFS, Envoy Proxy, HAProxy, SpiderMesh, OWASP.

• Proficiency in Frameworks and libraries: Spring/Spring Boot, SLF4J, Jackson, Hystrix, JMS.

Preferred qualifications, capabilities, and skills

• Experience developing shared libraries/frameworks adopted by multiple product teams.
• Experience in large‑scale enterprise or financial services.