Principal Software Engineer

Actively Reviewing the Applications

hackajob

Hyderabad Full-Time 4–8 years

Posted 3 days ago • Apply by June 11, 2026

Job Description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Job Description

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

As a Principal Software Engineer at JPMorganChase within theConsumer & Community Banking, you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, 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 firmâs 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.
Atleast 80% of time spent on Hands on Coding / Designing / Reviewing / Troubleshooting
Lead the creation and adoption of coding patterns and best practices across the organizationâs 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.
Develop and execute technical strategies in partnership with the team, aligning with organizational objectives and driving innovation.
Identify existing drawbacks, gaps, and inefficiencies in frameworks, processes, and practices; proactively recommend and implement improvements.
Mentor and guide engineering teams, fostering a culture of continuous learning, technical excellence, and talent development.
Serve as a subject matter expert and advisor on technological matters, influencing technical decisions and strategy across business, product, and technology teams.

Required Qualifications, Capabilities, And Skills

Formal training or certification on software engineering concepts and 10+ years applied experience
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.
Good experience in performance tuning and optimization of Java applications and frameworks.
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.).
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.
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.

Preferred qualifications, capabilities, and skills

Advanced knowledge of API design, development, and security, with hands-on experience in enterprise-grade API solutions.
Experience in high availability development and architectural practices.
Experience and exposure to AI Engineering, Retrieval-Augmented Generation (RAG), Applied AI, and integrating AI solutions into enterprise frameworks.
Excellent analytical, problem-solving, and decision-making skills.
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.
Proven track record of technical thought leadership, including identifying and addressing technical and process gaps, and elevating team capabilities.

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