Lead Software Engineer Java/AWS

🏢 JP Morgan
📍 OH, United StatesFull-timeOn-site
📅 Posted: 2w ago🔄 Updated: 2w ago
CV%
✨ AI Summary
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Trust and Security Team, you will be an integral part of an agile team responsible for enhancing, building, and delivering market-leading technology products. You will execute creative software solutions, design, develop, and troubleshoot technical issues, and build secure, high-quality production code. The role involves designing and building Java-based services using Spring Boot, developing and operating microservices architectures with a focus on resiliency, and building, deploying, and supporting cloud-native solutions on Amazon Web Services (AWS). You will also identify opportunities to automate remediation of recurring issues and drive team adoption of enterprise-authorized AI-assisted engineering practices.
Required Skills
Information Technology
JavaSpring BootMicroservicesAWSCI/CDCloud SecuritySSIS
Other
software development life cycleresponsible ai
Business, Sales & Management
Agile
Soft Skills & Professional Competencies
Resilience
Nice to have:
Information Technology
Domain-Driven DesignREST APIObservabilityContainerizationOrchestration
🎁 Benefits & Perks
Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching.
Requirements
Requires formal training or certification in software engineering concepts with 5+ years of applied experience. Must have hands-on experience in system design, application development, testing, and operational stability. Proficient in at least one programming language, with demonstrated experience in Java and Spring Boot, and microservices-based solutions. Experience building and operating workloads on AWS in a security-conscious environment and advanced understanding of agile methodologies are essential. Experience leading the effective use of AI-assisted software development tools and understanding responsible AI use in engineering workflows are also required.
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 JPMorganChase within the Consumer and community Banking - Trust and Security Team, 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
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Designs, builds, and maintains Java-based services using Spring Boot, with clear API contracts and engineering standards that support scalability and maintainability
  • Develops and operates microservices architectures with a focus on resiliency patterns, observability, and secure service-to-service communication
  • Builds, deploys, and supports cloud-native solutions on Amazon Web Services (AWS), aligning to security and reliability expectations
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • 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 applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • Demonstrated hands-on experience building production services in Java and Spring Boot
  • Demonstrated experience designing and delivering microservices-based solutions, including distributed systems troubleshooting and performance tuning
  • Practical experience building and operating workloads on Amazon Web Services (AWS) in a security-conscious environment
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

 

Preferred Qualifications, Capabilities, and Skills

  • Experience with domain-driven design and API-first delivery for microservices ecosystems
  • Experience implementing cloud observability (metrics, logs, tracing) and reliability practices for distributed services
  • Experience with containerization and orchestration approaches commonly used with AWS-backed microservices
  • Experience collaborating with security, risk, and architecture partners to deliver secure-by-design solutions
  • Experience in financial services or highly regulated environments (where applicable to the role)
 
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00