Lead Software Engineer - Sr. Java Developer

Description

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