Lead Software Engineer - Java Backend

What you'll do

• Design, develop, troubleshoot, review, and debug production software; improve application stability through automation.
• Lead technical evaluations and engineering communities of practice to assess and adopt technologies.
• Drive adoption of authorized AI-assisted engineering practices, coaching teams on validating outputs and using AI safely.

What they ask for

• Formal training or certification in software engineering concepts and eight or more years of applied experience.
• Hands-on experience with system design, application development, testing, and operational stability; proficiency across the Software Development Life Cycle and automation/continuous delivery.
• Advanced proficiency in one or more listed technologies, including Java, Spring, AWS, Kubernetes, Kafka, and others.
• Experience with AWS and Kubernetes, data streaming and message queuing, and leading responsible use of AI-assisted software development tools.

Nice to have

• Experience with distributed platforms, open-source or internal libraries, or behavior-driven development and continuous integration.
• Experience with cloud-native deployment and database technologies such as Apache Cassandra, Oracle, or Amazon DynamoDB.

Tools

Java, Spring, AWS, Kubernetes, Kafka, Cassandra, Oracle, Jenkins

AI focus

Leads adoption of enterprise-authorized AI-assisted coding, code review, refactoring, testing, and troubleshooting; coaches engineers to validate AI outputs for correctness, performance, and security and to handle data safely and compliantly.