Sr. Manager of Software Engineering

JPMorganChase•Columbus, OH

23h

About The Position

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products that are secure, stable, and scalable. As a key technical contributor and team leader, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. You will also provide strategic leadership and guidance to a team focused on AI-based builds and deliverables.

Requirements

8+ years of experience in full stack engineering, resource management and 1+ year of exposure to AI coding tools, best practices and deliverables
Experience in the Software Development Life Cycle, including hands-on development experience
Hands-on experience in Java/J2EE, REST Services, Spring boot
Hands-on experience in public cloud – Kubernetes, AWS and extensive experience with ECS, S3, RDS, Lambda, CloudWatch, Eventbridge, and Step Functions, as well as infrastructure automation using Terraform
Proficiency in designing and implementing RESTful APIs for enterprise-scale applications
Ability to design software systems using object-oriented principles and practices
Experience in building Decoupled Systems. Proficiency in using design patterns and technologies to decouple system components, enhancing flexibility and maintainability
Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality
Deep understanding of AI/ML concepts, model development lifecycles, and best practices
Proficiency in cloud platforms and MLOps tools for deploying and monitoring AI solutions
Strategic thinking to align AI initiatives with business objectives and deliver measurable value

Nice To Haves

Exposure to Java, Spring Batch, Spring Boot, microservices patterns, and REST API development
Experience with CI/CD tools such as Jenkins, Spinnaker, GitHub Actions or GitLab CI
Familiarity with modern front-end technologies like React JS, JavaScript, typescript
Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)
Knowledge and experience building micro services, as well as exposure to container platforms like ECS, Kubernetes, AWS
Exposure to AI systems such as Copilot, Claude

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with stakeholders to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
Evolve and apply AI in software development and automation
Provides strong leadership and team management to guide AI-focused engineering teams toward project goals
Architects scalable, reliable, and maintainable AI systems and pipelines, ensuring alignment with business objectives
Fosters a culture of innovation, continuous learning, and ethical AI development within the team
Communicates effectively with both technical and non-technical stakeholders to bridge gaps and drive outcomes