• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals. • Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures. • Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards. • Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production. • Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs. • Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence. • Set metrics and accountability for platform performance, reliability, and developer productivity.

• Spearhead automation engineering initiatives to streamline and optimize deployment workflows. • Manage, configure, deploy, and provision Kubernetes clusters at scale. • Lead the design and implementation of CI/CD pipelines, ensuring a robust, automated, and efficient delivery process. • Develop and implement security tooling to safeguard our cloud infrastructure and applications against threats. • Architect solutions to improve the developer experience and streamline application delivery through GitOps. • Develop Infrastructure as Code (IaC) modules and scripts to automate the provisioning and management of cloud resources. • Decouple applications from infrastructure and abstract configuration to simplify microservice development. • Engage with cross-functional teams to ensure seamless integration across all major cloud service providers.

• Take full end-to-end ownership of our observability stack, ensuring it remains resilient, scalable, and capable of supporting our rapid growth • Evolve and maintain a cloud-native infrastructure based on Kubernetes, ensuring that our foundation is always at the state-of-the-art • Bridge the gap between complex infrastructure and developer experience, building the necessary abstractions so teams can manage their own observability lifecycle seamlessly • Contribute to establishing and maintaining standards, guidelines, and best practices, and formalize them through processes like RFCs (Request for Comments). • Live the mission: inspire and empower others by genuinely caring for your own well-being and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

• Responsible for designing, architecting, and implementing modern, secure Azure AI platforms. • Act as an enabler for Data Science teams, building the "paved road" that allows them to deploy Azure ML Workspaces. • Utilize Azure AI Foundry and ship GenAI services to production securely and efficiently.