• Collaborate with cross-functional teams — including product managers and leadership — to shape long-term technical strategy and translate business requirements into customer-centric solutions. • Contribute to roadmap planning and partner with the team to drive execution and delivery. • Design and architect simple, cost-effective solutions to complex features with a focus on security, scalability, and performance—designed to work seamlessly across both our cloud and self-hosted environments. • Write production-quality code across our full stack (Angular/TypeScript, Node.js, and Go for API development). • Extend our SDK and providers to enable Pulumi Cloud functionality across multiple languages, including TypeScript/JavaScript, Go, Python, C#, and Java. • Participate in code and design reviews, sharing expertise and mentoring engineers across the team.

• Define the technical vision and development standards for APIs, SDKs and AI platform services. • Lead the architecture of complex solutions, ensuring that orchestration of agents and AI services is scalable and enterprise-grade resilient. • Serve as a technical advisor to leadership and squads, supporting decision-making on emerging technologies and cloud-native infrastructure. • Advocate engineering best practices (Clean Code, Design Patterns, Security) and a culture of quality across the Data & AI directorate. • Design and optimize technical governance to ensure distributed systems meet strict observability and security requirements. • Identify and mitigate structural technical risks before they impact operations or the AI product roadmap.

• Work on large-scale solutions for mining challenging driving scenarios to boost learned model performance across various autonomous driving tasks. • Collaborate with ML (Machine Learning) infrastructure teams and contribute to workflows for continuous learning through iterative mining, error analysis, training and deployment. • Research and develop methods for extracting uncertainty and informativeness indicators to automatically mine for challenging scenes and analyze model performance. • Provide statistical depth and insights on model uncertainty, generalization and robustness. • Conduct deep learning experiments and write technical reports. • Provide guidance to junior researchers on research projects and design document reviews. • May work remotely from any U.S. state.

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.) • Designing safe upgrade and rollout strategies at scale • Improving observability, automation, and operational ergonomics • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc. • Serving as a primary escalation point and on-call for relevant incidents • Owning the relationship with all system vendors, including WarpStream Labs and others.