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Senior Software Engineer - Java

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: JPMorgan Chase & Co.
Full Time, Seasonal/Temporary position
Listed on 2026-06-26
Job specializations:
  • Software Development
    Backend Developer, Java Developer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 133000 - 185000 USD Yearly USD 133000.00 185000.00 YEAR
Job Description & How to Apply Below
  • Locations 575 Washington Blvd, Jersey City, NJ, 07310, US
  • Job Schedule Full time
  • Job Shift Day
  • Base Pay/Salary Jersey City,NJ $-$
Job Description

We are seeking a dynamic and experienced Software Engineering III to participate in the development of our innovative multi-asset trading platform on AWS. This role demands a hands‑on leader with deep expertise in streaming, non‑blocking, reactive Java programming, and a strong background in microservices architecture, domain‑driven design, and cloud technologies.

Key Responsibilities

  • Actively engage with and lead a team of technologists to develop and deploy applications to the highest standards, ensuring alignment with business and functional requirements.
  • Design and implement microservices in Java, utilizing streaming, non‑blocking, and reactive programming techniques, while contributing directly to the codebase.
  • 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.
  • Utilize technologies such as Kafka, IBM MQ, Kubernetes (K8s), Redis cache, MSK, and AWS to build scalable and efficient systems, providing both strategic direction and hands‑on support.
  • Drive the adoption of domain‑driven design principles and ensure the architecture supports the trading platform's multi‑asset capabilities, while actively participating in architectural discussions.
  • Oversee and contribute to the development of technical documentation, including service APIs using Swagger, ensuring robust logging, auditability, security, and monitoring features.
  • Participate in API design sessions and guide the selection of design patterns for the team, while also contributing to the design process.
  • Lead and participate in code review sessions, providing sign‑off and ensuring high maintainability through TDD/BDD approaches.
  • Demonstrate scalability of services using mock testing frameworks and other tools, actively engaging in testing and validation processes.
  • Mentor, groom, and guide junior team members, fostering their professional growth and development within the organization.
Qualifications
  • Bachelor's degree in Computer Science or a related field from a reputed university/college, or equivalent experience.
  • Deep knowledge and expertise in Java programming, with a self‑assessed proficiency of 8 out of 10 or higher, and a willingness to engage in hands‑on coding.
  • 8-10 years of experience as a software engineer, with a proven track record in building distributed architecture systems, especially those involving large data volumes and real‑time distribution.
  • Strong understanding of CI/CD, Dev Ops tool chains, and a test‑driven approach to agile delivery, with hands‑on experience in these areas.
  • Experience with middle‑tier data caching solutions (e.g., Redis, Gemfire, Apache Ignite) and messaging‑based solutions (e.g., Kafka, IBM MQ).
  • Knowledge of modern architectures based on microservices, REST APIs, databases, SQL, non‑SQL stores, and event‑based architecture.
  • Proven ability to mentor, groom, and guide junior team members, fostering a collaborative and growth‑oriented environment.
  • 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…
Position Requirements
10+ Years work experience
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