Lead Software Engineer, Java Fullstack, Risk Framework

What you'll do

• Develop secure, high-quality production code while reviewing and debugging code written by other team members.
• Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
• Establish consistent validation standards for secure coding, peer reviews, and automated testing across the team.
• Identify and automate the remediation of recurring issues to improve the operational stability of software systems.
• Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical applicability.
• Implement DevOps and SRE practices including CI/CD, infrastructure automation, and incident response.
• Design and operate APIs using REST and event-driven patterns for scalable system integration.
• Coach engineers on the safe and compliant use of AI tools while ensuring data security and performance.

What we're looking for

• Formal training or certification in software engineering concepts and 5+ years of experience in Java.
• Proficiency in programming languages with strong hands-on experience using Java and Spring Boot.
• Experience building frontend applications using React and TypeScript, including work with design systems and component libraries.
• Strong knowledge of DevOps practices, including CI/CD, infrastructure automation, release management, and operational readiness.
• Practical experience applying SRE and reliability engineering practices such as observability, incident response, and root cause analysis.
• Experience designing and operating APIs and integration patterns, including REST and event-driven patterns.
• Demonstrated experience leading the use of approved AI-assisted software development tools while ensuring security and performance standards.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
• Practical cloud-native experience with containers, orchestration, and managed services (preferred).
• Familiarity with distributed systems patterns like resilience, idempotency, rate limiting, and caching (preferred).
• Familiarity implementing security controls in the SDLC such as threat modeling and secrets management (preferred).