• This role will manage a geographically dispersed team.
• Lead a group of highly collaborative engineers.
• Work closely with Science/ML team, Data Engineers, Data Analytics teams to stay on top of Personalization roadmap and deliverables.
• Innovate to build performant solutions that continue to scale to the increasing business demands. Turning solutions into architecture diagrams and tech briefs when necessary.
• Contribute to a healthy engineering culture and drive best practices.
• Lead high-level architecture discussions and planning sessions.
• Strive to develop simple solutions to complex problems.
• Ensure team-wide code quality through code reviews and PR feedback.
• Exhibit accountability at both a personal and team level.
• Author and provide feedback on technical proposals and root cause analyses.

• Help research and recommend new technologies to solve strategic issues.

• Bachelor’s degree in Computer Science or similar field, or equivalent experience, in lieu of degree.
• 10+ years of software engineering experience.
• 5+ years leading software engineering teams in a technical organization.
• Expertise in Scala, Java and functional programming paradigms.
• Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing.
• Has successfully built resilient multi-region microservices at scale by leveraging AWS
• Interpersonal skills and ability to interact and work with staff at all levels.
• Build & Release best practices
• Experience with event-driven systems architectures.
• Good understanding of recommendation systems and ranking factors.
• Strong analytical and problem-solving skills to identify SEO issues and provide effective solutions.
• Experience designing and implementing RESTful web APIs in an enterprise setting.
• Deep understanding of the software development lifecycle, including the use of source control, CI/CD and various testing approaches.
• Deep distributed systems knowledge, having supported multiple high-throughput systems in a production setting.
• Experience with AWS in a production setting, preferably having leveraged offerings for compute, databases, storage, containers and serverless technologies.
• Experience with asynchronous programming models, ideally those that support high-throughput systems running on the JVM in a production setting.
• Pragmatic approach to weighing engineering tradeoffs versus business needs.
• Persistent sense of curiosity to understand why something is and needs to be.
• Accountability and a sense of extreme ownership that doesn’t end after the system is deployed to production.
• Excellent written and verbal communication skills.

R-2024-IR-107