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Java Technical Lead

IRIS Software, Inc.Toronto, ON🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationToronto, ON, United States
MicroservicesSpringSpring BootGitAWSAPI GatewayOAuthContinuous ImprovementJavaGenerative AIRESTCI/CD

Job description

Key Responsibilities

  • Lead the design and development of scalable backend applications using Java and Spring Boot.
  • Design secure, resilient REST APIs, microservices, and enterprise integrations.
  • Take end-to-end technical ownership from solution design and development through deployment, production support, and continuous improvement.
  • Lead and mentor engineers while remaining a hands-on technical contributor.
  • Drive engineering best practices including code quality, automated testing, CI/CD, monitoring, observability, security, and reliability.
  • Design and troubleshoot distributed systems, asynchronous processing, events, and messaging patterns.
  • Lead technical problem-solving, root-cause analysis, and resolution of complex production issues.
  • Collaborate with architecture, security, product, QA, and business stakeholders to deliver high-quality solutions.

Required Qualifications

  • Strong hands-on Java and Spring Boot development experience.
  • Strong experience designing and building REST APIs and microservices.
  • Demonstrated ability to design, code, review, troubleshoot, and support complex applications.
  • Proven end-to-end ownership across the full software development lifecycle, from requirements and design through production support.
  • Strong knowledge of API design, security, integration patterns, and distributed systems.
  • Experience with CI/CD, automated testing, Git, monitoring, observability, and production engineering practices.
  • Strong understanding of databases, performance, resiliency, error handling, and application troubleshooting.
  • Demonstrated technical leadership with the ability to mentor engineers and drive technical decisions while remaining hands-on.

Preferred / Nice to Have

  • Experience with AWS or other public cloud platforms.
  • Exposure to AWS services such as Lambda, API Gateway, SQS/SNS, ECS/EKS, or other managed services.
  • Experience with event-driven architectures and messaging technologies.
  • Financial services or other large enterprise application experience.
  • Understanding of authentication, authorization, OAuth/OIDC, and API security.
  • Exposure to Generative AI or AI-assisted software engineering is an asset, but not a core requirement.

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