Java AWS Lead Software Engineer

JPMorgan Chase & Co.

Columbus (OH)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Columbus, OH is seeking a Lead Software Engineer within the Consumer & Community Banking Deposits platform.

You will be a core technical contributor, leading an agile team of six, delivering secure, scalable technology while applying AI-assisted development tools and advancing CI/CD. Your role covers design, coding in Java/Spring, microservices, cloud, data stores, and collaboration with cross-functional stakeholders.

Qualifications

  • Formal training or certification on software engineering concepts.
  • 5+ years of applied software engineering experience.
  • 8+ years in Java/Spring and microservices in a cloud environment.
  • Experience with microservices, RESTful APIs, and databases.
  • Proficient in data streaming and messaging (Kafka, Spark).
  • Understanding of containers (Docker, Kubernetes).
  • Strong stakeholder management and executive communication.
  • Experience with AI-assisted development tools.

Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting.
  • Develops secure high-quality production code and reviews peers' work.
  • Identifies opportunities to automate remediation to improve stability.
  • Leads evaluation sessions with vendors and internal teams on architecture.
  • Leads communities of practice to drive adoption of new technologies.
  • Mentors engineers and fosters diversity and inclusion.
  • Performs heavy coding with Java, Spring, microservices, databases and cloud.
  • Leads Agile team of 6 as a hands-on developer.
  • Expands unit testing within CI/CD pipelines and ensures documentation.
  • Uses AI-assisted coding tools with peer review and secure coding standards.

Skills

Java
Spring
Microservices
Cloud platforms
RESTful APIs
Databases
Kafka
Kubernetes
CI/CD
AI Tools
Mentoring
Exec comms

Education

Software engineering certs

Tools

Docker
Kubernetes
Helm
Kafka
Spark
CI/CD tools

Job 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 & Community Banking Deposits platform, youare 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
  • 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 external vendors, startups, and internal teams 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
  • Performs heavy coding utilizing Java, Spring, Microservices/RESTful API, relational databases and Cloud services
  • Leads Agile team of 6 as an active developer and contributor by solving and implementing difficult technology challenges for successful team delivery
  • Expand unit testing automation suite capabilities by integrating tests into CI/CD pipeline; ensuring 100% documentation & unit testing of all code delivered
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • 8+ years hands on experience usingJava, Spring based technologiesand event based microservicesin a Cloud environment (AWS, GCP, Azure, etc.)
  • Strong experience with micro services/RESTful API, relational/NoSQL databases, data modeling and data ingestion frameworks
  • Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.)
  • Understanding of containers (Dockers, Kubernetes, Helm, etc.)
  • Influencing & stakeholder management: Aligns roadmaps; secures cross-functional buy-in with data and clear trade-offs
  • Executive communication: Frames complex tech and risk as business impact with clear options
  • Mentoring: Coaches engineers; builds quality, psychological safety, and continuous improvement
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Preferred qualifications, capabilities, and skills
  • AWS certification.
  • In-depth knowledge of the financial services industry and their IT systems
  • Design and implement robust automation frameworks and tools to support continuous integration and delivery
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness
  • Stay updated with the latest industry trends and technologies in performance testing and automation
  • Track record leading modernization programs (e.g., monolith-to-microservices or cloud migrations) in regulated environments
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