• Leading and growing a high‑performing engineering team • Owning execution for Ecosystems services and integrations • Guide your team through key architectural decisions across distributed systems, public APIs, webhooks, and integration patterns including agentic protocols like MCP. • Raise the bar on reliability, scalability, and performance, including SLIs/SLOs, observability, testing strategy, and incident readiness for the services you own. • Partner with other Platform and product squads to ensure Calendly experiences are API‑first and ecosystem‑ready. • Lead and refine agile practices to help your team deliver predictably and sustainably. • Provide feedback and guidance to help us continuously grow, scale, and evolve our operating model across the broader Engineering org.

• Own the end‑to‑end strategy, roadmap, and execution for Instacart’s managed database platform • Lead and develop a high‑performing team of 5 engineers • Design and operate multi‑tenant database offerings with strong availability • Build automation and control planes for provisioning, schema and version management • Partner with Security, SRE, Data Platform, and product engineering to migrate legacy systems • Deliver meaningful cost outcomes by optimizing instance sizing and performance • Establish best practices in observability, testing, CI/CD, change management

• Set the vision and strategy for all aspects of model inference and serving at Netflix, ensuring our platform supports the next generation of ML innovation, including LLMs, GenAI, and real-time personalization. • Lead and develop a cohort of engineering managers and technical leads responsible for core functions, including model routing, inference systems, experimentation, serving frameworks, and the performance and scalability of model serving at Netflix. • Drive cross-team and cross-functional alignment, collaborating with ML researchers, product engineering, infrastructure, and platform partners to maximize business and member impact. • Champion operational excellence and continuous improvement, ensuring reliability, scalability, and cost-effectiveness across all model serving systems. • Define and communicate the pillar’s multi-year vision, technical strategy, and roadmap. • Anticipate future platform and business needs, especially as ML architectures and use cases evolve. • Drive the transition from legacy, domain-based serving to a unified, modular, and domain-agnostic serving platform. • Manage and mentor engineering managers and technical leads; build a strong leadership bench. • Foster a culture of high performance, candor, innovation, and inclusion, aligned with Netflix’s values. • Attract, hire, and retain outstanding talent across the pillar. • Set and uphold technical standards for reliability, scalability, and performance across all teams. • Oversee development of foundational serving infrastructure: real-time/batch inference, frameworks, experimentation, control plane, and tooling. • Ensure robust support for diverse model types (deep learning, LLMs, bandits, etc.), hardware targets (CPU/GPU), and SLAs. • Own operational health and reliability at scale, including observability, SLOs, and incident response. • Build and maintain strong partnerships with ML practitioners, product engineering, infrastructure, and platform teams. • Represent the Model Serving pillar to Netflix senior leadership, clearly communicating the vision, progress, and priorities. • Influence and drive alignment on platform direction, investment, and priorities.

• Collaborate closely with engineering, product, and business leaders to align technical execution with business goals. • Foster a culture of technical excellence, continuous learning, and innovation within the team. • Drive best practices for software development, including code reviews, testing, and CI/CD pipelines. • Ensure timely delivery of high-quality software solutions in an agile environment. • Mentor and develop engineers, helping them grow their skills and advance their careers. • Lead and manage a team of software engineers to develop scalable, secure, and high-performance applications - including hiring, training, and completing performance evaluations. • Work closely with architecture and platform teams to align on technical strategies and implementation. • Promote cross-functional collaboration. • Monitor KPIs and metrics to report out monthly to the CTO’s leadership team. • Stay current with emerging technologies and industry trends and integrate relevant innovations into the company’s IT infrastructure. • Participating in software solution design and architecture. • Ensuring code quality through unit testing and automated testing frameworks. • Working with other developers, stakeholders, and clients to understand requirements and deliver solutions. • Providing technical support and troubleshooting issues. • Creating and maintaining documentation throughout the software development lifecycle.