Principal Software Engineer

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorganChase within the Consumer and Community Banking, Core Engineering Solutions, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build frameworks, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

Job Responsibilities

• Design, develop, and maintain complex, scalable, and reusable Java frameworks using Spring Boot, ensuring they meet industry standards for reliability, efficiency, and performance.
• Lead the creation and adoption of coding patterns and best practices across the organization’s development community, driving standardization and consistency.
• Architect and implement robust, secure, and high-performance frameworks for both cloud and on-premises environments, leveraging cloud-native services (e.g., AWS).
• Collaborate with cross-functional teams to define integration strategies and technical solutions aligned with business goals.
• Provide technical thought leadership, staying abreast of industry trends, emerging technologies, and best practices to guide the team and organization.
• Identify existing drawbacks, gaps, and inefficiencies in frameworks, processes, and practices; proactively recommend and implement improvements.
• Serve as a subject matter expert and advisor on technological matters, influencing technical decisions and strategy across business, product, and technology teams.
• Ensure frameworks and solutions are enterprise-grade, with strong security, monitoring, documentation, and operational stability.
• Lead proof-of-concept (POC) initiatives to evaluate new technologies and methodologies for potential adoption.
• Identify opportunities to automate remediation of recurring issues, improving overall operational stability.
• Drive innovation by exploring and integrating cutting-edge technologies (e.g., cloud, streaming) into frameworks and products. Mentor and guide engineering teams, fostering a culture of continuous learning, technical excellence, and talent development.

Required qualifications, capabilities and skills,

• Deep expertise in Java (Core Java & EE), Spring Boot, and related Spring frameworks (Spring MVC, Spring Cloud, Spring GraphQL, Spring Security, Spring AI).
• Proven experience building performant, scalable, and reliable microservices and frameworks for both cloud (AWS) and on-premises deployments.
• Advanced knowledge of API design, development, and security, with hands-on experience in enterprise-grade API solutions.
• Proficiency in Relational database skills, including SQL, data modeling, and experience with high availability database architectures.
• Advanced knowledge and hands-on experience with streaming technologies (Kafka, RabbitMQ, etc.) and s strong experience with CI/CD pipelines, cloud-native development (AWS Lambda, ECS, S3, Aurora, API Gateway), and DevOps practices.
• Experience with unit and integration testing frameworks (JUnit, mocking frameworks, test-driven development).
• Demonstrated ability to think strategically, develop and execute technical strategies, and drive organizational objectives. Ability to communicate effectively and present technical concepts to senior leaders and executives.
• Proven track record of technical thought leadership, including identifying and addressing technical and process gaps, and elevating team capabilities using excellent analytical, problem-solving, and decision-making skills.
• Demonstrated technical thought leadership in AI, guiding teams on best practices for AI integration, staying abreast of emerging trends, and driving the adoption of innovative technologies. Experience and exposure to AI Engineering, Retrieval-Augmented Generation (RAG), Applied AI, and integrating AI solutions into enterprise frameworks.
• Experience with Agile development processes (SCRUM/KANBAN) and tools (JIRA, GitHub/Bitbucket, Jenkins, Maven/Artifactory).
• Formal training or certification in software engineering concepts, with 12+ years of applied experience in system design, application development, testing, and operational stability.