Lead Software Engineer - Java, Boot, AWS

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, youare 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.

• 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, Postgre
  
  SQL, 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.

• 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 Postgre
  
  SQL 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.

• 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.