Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards 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
Leads a global feature team by setting technical direction, supporting pair programming, mentoring engineers, contributing to architectural decisions, and partnering with Product Owners, Operations, and Technology teams
Identifies opportunities to improve application stability, observability, code quality, and deployment reliability while supporting applications across development, staging, and production environments
Required qualifications, capabilities, and skills
Formal training or certification in software engineering concepts and 8+ years of applied experience, including hands-on delivery of system design, application development, testing, and operational stability
Advanced Java development experience, including Java 21+, object-oriented analysis and design, concurrency, collections, streams, records, sealed classes, pattern matching, and virtual threads
Advanced experience with Spring Boot 3.x / Spring Framework 6.x, including Spring Security, Spring Data, microservices, domain-driven design, RESTful APIs, OpenAPI 3.x, and event-driven development with Kafka
Hands-on full-stack and data experience using React 18+, TypeScript, relational databases such as Oracle SQL / PostgreSQL, and persistence frameworks including Hibernate / JPA
Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to validate AI outputs for correctness, performance, security, and responsible handling of sensitive data, combined with advanced knowledge of Agile delivery, continuous integration and delivery, application resiliency, and security
Preferred qualifications, capabilities, and skills
Experience with React hooks, context, state-management tools, component design systems, and Next.js 14+
Cloud-native development experience with AWS, Azure, or GCP, including managed compute, storage, messaging, and secrets-management services
Experience with Kubernetes, Helm, and infrastructure-as-code tools such as Terraform or Pulumi
Experience with automated testing and observability tools, including JUnit 5, Mockito, Testcontainers, Pact, OpenTelemetry, Prometheus, and Grafana
Experience with Redis, GraphQL, and data-pipeline technologies such as Apache Spark or Flink
Experience in production support, incident management, financial services, equipment leasing, lease accounting, asset valuation, commercial lending technology, or asset lifecycle workflows
