• Lead, coach, and develop a high-performing engineering team focused on .NET and SQL applications. • Drive performance management, career development, and succession planning in alignment with CVS Health’s Heart At Work Behaviors™ and Values. • Foster a culture of accountability, collaboration, continuous learning, and psychological safety. • Own reliability, availability, and performance of critical on-premise applications, partnering closely with Operations. • Lead structured root cause analysis (RCA) for incidents and recurring issues; ensure durable corrective and preventive actions are implemented. • Define and maintain application performance monitoring (APM) standards for .NET and SQL applications. • Collaborate with product, operations, and business partners to refine requirements, clarify priorities, and translate needs into actionable backlogs.

• Accelerate growth of existing revenue streams • Own complex initiatives end to end • Collaborate with Staff Engineers and partners • Advise leadership on engineering excellence • Lead full-stack engineering across platforms • Rapidly prototype new features

• Drive platform reliability and operational excellence by designing and implementing deployment pipelines, SLO frameworks, observability tooling, performance improvements, and AI-enabled incident response automation that help maintain Viaduct's 99.99% uptime target across Airbnb's critical API traffic. • Contribute to runtime resiliency initiatives including resource attribution, performance regression testing, and proactive monitoring to ensure the multi-tenant GraphQL platform scales efficiently and degrades gracefully under load. • Architect and deliver AI-powered operational tooling that accelerates incident triage, reduces mean-time-to-mitigation, and empowers both the Viaduct team and tenant engineers with self-service debugging capabilities. • Shape the future of Viaduct Modern by contributing to the next-generation architecture, improving developer experience for hundreds of engineers, and establishing patterns that will be shared with the open-source community.

• Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time • Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform • Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making • Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights • Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads • Drive quality, performance, scalability, and observability across all systems you own • Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling • Contribute to technical leadership and mentorship of teammates.