Guides integration contracts, API/versioning strategies, and deprecation paths for platform services
Drives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and security
Mentors engineers and contributes to a culture of inclusion, respectful collaboration, and continuous improvement aligned to measurable outcomes
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience in Java / Python
Hands-on practical experience delivering system design, application development, testing, and operational stability for mission-critical platforms
Advanced in one or more programming language(s), with deep hands-on expertise in Java (17+), including concurrency, memory management, and object-oriented design
Demonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations)
Practical experience with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking/messaging concepts
Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automated testing practices, application resiliency, and security
Demonstrated experience leading effective use of enterprise-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
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs, aligned to resiliency and security expectations
Effective communication with technical and non-technical audiences; ability to operate in globally distributed teams
Preferred qualifications, capabilities, and skills
Exposure to messaging systems and market protocols (e.g., MQ/Kafka; familiarity with FIX and Solace)
Experience with observability stacks and resilience engineering for low-latency / latency-sensitive platforms
Familiarity with Python
Experience operating services in regulated environments with strong auditability and controls
