Lead Software Engineer - Sr. Java Developer

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  Consumer and Community Banking , 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 implement software applications and systems, ensuring scalability, performance, and security.
• Collaborate with cross-functional engineering teams to seamlessly integrate AI technologies into existing architectures, employing Python for the development of scalable and robust AI solutions.
• Perform in-depth analysis and interpretation of complex, high-dimensional data sets using Python libraries such as NumPy, Pandas, and TensorFlow to generate AI-driven insights and actionable recommendations
• Collaborate with cross-functional teams, including product management, design, and QA, to deliver high-quality software solutions.
• Drive the technical direction of projects, making architectural decisions and ensuring alignment with business goals.
• Conduct code reviews and ensure adherence to best practices and coding standards.
• Identify and resolve technical challenges and bottlenecks in the development process.
• Stay up-to-date with industry trends and emerging technologies, incorporating them into the development process as appropriate.
• Participate in the recruitment and onboarding of new team members.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. 
• Advanced skills in critical analysis and architectural design, with a focus on microservice architectures. 
• Experience in creating highly decoupled systems that promote flexibility, scalability, and resilience. Ability to evaluate and implement architectural patterns that optimize performance and maintainability.
• Mastery of Java and SpringBoot for backend development, with a deep understanding of best practices in object-oriented programming and design patterns. Expertise in front-end development using ReactJS, with a focus on building responsive and user-friendly interfaces.
• In-depth experience with Apache Kafka for building real-time data streaming applications. Ability to design and implement event-driven architectures that enhance system responsiveness and data processing capabilities.
• Advanced knowledge of AWS services, including Lambda, ECS, and RDS. Experience in designing and deploying cloud-native applications that leverage serverless computing, container orchestration, and managed database services for optimal performance and cost-efficiency.
• Proficient in workflow design and business rules management, with hands-on experience using BPM toolsets such as Camunda. Ability to model complex business processes and automate decision-making to improve operational efficiency.
• Strong leadership skills with experience in guiding and mentoring engineering teams. Ability to foster a collaborative and innovative team environment, driving technical excellence and continuous improvement.
• Ability to align technical solutions with business goals, providing strategic insights and recommendations to stakeholders. Experience in evaluating emerging technologies and integrating them into the technology stack to drive innovation.
•  Commitment to continuous learning and staying abreast of the latest trends and advancements in software engineering and cloud technologies.

Preferred qualifications, capabilities, and skills 

• Practical cloud native experience
• Relevant industry certifications, such as AWS Certified Solutions Architect or Certified Kubernetes Administrator, are highly desirable.
• Hold relevant certifications such as AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty, or AWS Certified Developer to demonstrate expertise in cloud technologies and AI integration