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Lead Software Engineer - Backend/Java/Cloud

JPMorgan Chase
Plano, USA
Full-time
Lead · 8+ years experience
Onsite
Discovered 1 weeks ago
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Full Job Posting

Job responsibilities:

  • Design and deliver scalable, resilient Java-based services and microservices using modern engineering practices
  • Build and maintain API-driven solutions (REST) and distributed, event-driven architectures
  • Develop and optimize data pipelines and streaming solutions using Apache Kafka
  • Model, query, and tune relational and NoSQL data stores to support performance, integrity, and scale
  • Implement and improve continuous integration and continuous delivery pipelines to enable safe, frequent releases
  • Apply infrastructure-as-code practices to create repeatable, reliable environments and deployments
  • Monitor production systems, troubleshoot issues, and drive improvements in availability, latency, and reliability
  • Conduct code reviews and contribute to engineering standards for secure coding, testing, and documentation
  • Partner with stakeholders to translate business needs into technical designs and production-ready solutions
  • 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
  • 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.
  • 8+ years of Java experience, including core APIs, web services, concurrency, and design patterns
  • 8+ years of Spring Boot experience building high-performance, maintainable services
  • 5+ years of experience with SQL and NoSQL databases, including data modeling and performance tuning
  • 5+ years of Apache Kafka experience designing and implementing event-driven solutions
  • 2+ years of cloud experience, including deploying and operating services using Amazon Web Services
  • Proven ability to design, develop, deploy, and support medium to large applications in an agile (Scrum) environment
  • Proficiency building secure, scalable RESTful APIs and microservices
  • Experience implementing CI/CD using tools such as Jenkins, GitLab CI, Spinnaker, or AWS CodePipeline
  • Hands-on experience with automated testing frameworks such as JUnit 5 and Cucumber

Preferred qualifications, capabilities, and skills:

  • Experience with modern DevOps practices and infrastructure-as-code tooling such as Terraform
  • Experience with performance testing, debugging, and profiling using tools such as JMeter or BlazeMeter
  • Experience with observability and monitoring tools such as Splunk, CloudWatch, Prometheus, Dynatrace, or Grafana
  • Experience with containerization and orchestration using Docker and Kubernetes
  • Demonstrated mentoring and technical coaching experience that supports team growth and continuous improvement

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