Onsite: Loss Angeles, CA

CORE Tech Lead – Role Expectations: 



Experience & Technical Depth 12+ years of professional software engineering experience, with a proven record of building and delivering complex, scalable systems. 

• Strong hands-on coding background in Go, Python, and/or C#, with the ability to dive deep into codebases and guide implementation when needed. 
• Deep experience designing and leading modern, scalable architectures (e.g., microservices, API-first systems, performance optimization).
• Cloud & Platform Expertise Extensive experience with Microsoft Azure, including deploying, operating, and scaling production systems using Azure services. 
• Strong API design experience, REST API, including GraphQL and JSON-based services, with an emphasis on maintainability and performance.
• Leadership & Ownership Proven experience leading cross-functional engineering teams of ~10–15 engineers (front-end, back-end, and full-stack). Acts as a true owner: sets direction, removes blockers, drives execution, and takes accountability for outcomes. 
• Comfortable leading through ambiguity and evolving requirements while keeping teams focused and productive.
• Execution & Engineering Excellence Demonstrated ability to manage multiple initiatives in parallel, prioritizing effectively to deliver high-quality results. 
• Champion of engineering best practices, including coding standards, code reviews, CI/CD pipelines, automated testing, and operational excellence. 
• Experience establishing and evolving technical roadmaps aligned with business goals.
• Collaboration & Communication Excellent communicator able to clearly articulate complex technical concepts to both technical and non-technical stakeholders. 
• Strong mentor and culture-builder who fosters collaboration, psychological safety, and continuous improvement. 
• Effective at leading and coordinating distributed/remote teams.CORE Team Focus Experience building platform, infrastructure, or foundational services that enable multiple product teams. 
• Familiarity with operating systems at scale (reliability, observability, cost awareness, security).