Skills and qualifications:
• Required: 7+ years of software engineering experience
• Deep experience leading digital product engineering with end-to-end ownership across multiple products and teams
• Strong architecture background in full-stack systems, including application programming interfaces, microservices, frontend architecture, and integration patterns
• Strong backend engineering expertise in Java, .NET, or Node, with hands-on experience in application programming interfaces, GraphQL, messaging, and performance tuning
• Strong frontend engineering expertise in React, Angular, or Vue, including component design, state management, and accessibility
• Strong experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, plus containers, Kubernetes, and infrastructure as code
• Strong DevSecOps knowledge, including continuous integration and continuous delivery, automated testing, security testing, and secrets management
• Strong understanding of secure development practices, including Open Web Application Security Project Top 10, authentication, authorization, and zero trust patterns
• Strong data engineering and database experience with SQL, NoSQL, schema design, caching, and data migrations
• Strong understanding of observability, reliability, service level objectives, logging, metrics, tracing, and incident response
• Strong leadership experience guiding engineering standards, code reviews, test strategy, and software development life cycle controls
• Comfort using AI-enabled developer tools, for example code assistance, test generation, or documentation, with appropriate security and privacy practices
• Experience managing technical vendors and partners through architecture reviews, delivery oversight, and acceptance criteria
• Experience leading and developing senior engineers through hiring, coaching, and performance management
• Experience working with product and business partners to shape technical roadmaps and manage delivery trade-offs
• Experience applying cost optimization principles to cloud usage, capacity planning, and licensing where relevant