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 JPMorgan Chase within the Commercial and Investment Bank, 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 innovative software solutions with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Lead design, build, and optimization of real-time search service and APIs for search. Lead technical troubleshooting and performance tuning across backend (Java, Spring Boot, AWS, Kafka, PostgreSQL, Elastic Search) and frontend (React JS) components. Architect and implement scalable systems to ingest, transform, and aggregate millions of records from disparate sources, ensuring data quality and integrity. Collaborate with engineers, product owners, and business stakeholders to translate requirements into best-in-class software solutions. Work within an Agile/Scrum environment, contributing to sprint planning, code reviews, and continuous improvement. Champion best practices in API design, microservices architecture, and cloud-native development using Kubernetes and AWS. Mentor junior engineers and contribute to a culture of diversity, inclusion, and respect within the team.

 

Required qualifications, capabilities, and skills

 

Formal training or certification in software engineering concepts and 5 plus years of hands-on experience in software development. Deep expertise in Java/JVM ecosystem, Spring Boot framework. Proven experience building robust APIs and microservices architectures. Strong proficiency in AWS cloud services and Kubernetes for container orchestration. Hands-on experience with Kafka for architecting and building distributed messaging and event-driven architectures. Advanced skills in PostgreSQL and database optimization. Advanced skills in Elastic Search for data storage, indexing, and search optimization. Demonstrated ability in performance tuning and troubleshooting complex systems. Experience in real-time data processing. Proven experience with React JS and modern front-end development practices. Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automation, and application resiliency with experience working in Agile teams and partnering with product and engineering stakeholders.
  Preferred qualifications, capabilities, and skills   Experience working on financial systems or enterprise CRM platforms is a plus. Familiarity with data matching, deduplication, and entity resolution techniques. Experience with performance optimization in large-scale, cloud-native applications.