• Design, build, and operate production Kubernetes clusters on bare-metal infrastructure. • Implement and operate custom Kubernetes networking solutions. • Develop and maintain custom Kubernetes operators and controllers. • Deploy and optimize NVIDIA GPU operators and custom scheduling logic for GPU workloads. • Build deep integrations between Kubernetes and underlying infrastructure. • Design and implement automation using Terraform, Ansible, Helm, and custom operators. • Manage production bare-metal infrastructure across multiple regions ensuring high availability, fault tolerance, and graceful degradation. • Build comprehensive monitoring, logging, and alerting using Prometheus, Grafana, and ELK stack. • Identify and resolve performance bottlenecks across infrastructure domains.

• Continuously assess technology hosted in the public cloud against industry standards and security compliance. • Streamline Infrastructure platforms to 100% “everything as code" in the public cloud. • Write code once and reuse it as much as possible for Infra as code, CICD pipelines, templates, etc. • Implements end-to-end automated CICD practices for build, scan, packaging, test, and deployment. • Drive Containerization across application workloads to leverage native cloud features and scalability. • Achieve 100% compliance on all infrastructure vulnerabilities and package vulnerabilities. • Drive 100% self-service and reusable automation across stakeholders for platform requests. • Add instrumentation across Infrastructure for monitoring and alerting on internal problems. • Build processes and diagnostic tools to troubleshoot, maintain, and optimize Infrastructure. • Adopt continuous learning of modern data engineering practices. • Maintain industry standards through incremental adoption of new technology and best practices. • Create and continuously maintain high-quality documentation for platform and DevOps practices.

• Lead end-to-end deployment of autonomous robotic systems at customer facilities. • Conduct site surveys and assess automation readiness, infrastructure constraints, and ODD requirements. • Generate 3D and semantic maps and validate localization and navigation performance. • Install, configure, calibrate, and commission robotic systems in live production environments. • Train customer operators, maintenance teams, and site stakeholders; manage handoff to support. • Work directly with the Customer Solutions Engineering team to take their designs in a handoff and perform a full implementation and betterment of these designs. • User Acceptance Testing (UAT): Define and lead the final testing phase during the implementation, proving to the customer that the system meets all safety and throughput Key Performance Indicators (KPIs). • Perform the handoff and orientation of the vehicle with the customer as well as part of the handoff. • Act as the primary technical point of contact during deployments and early operations. • Work directly with customer IT teams to configure networks, resolve firewall/port issues, and ensure reliable connectivity. • Run regular performance reviews with customers, using data to drive operational improvements and adoption. • Head the deployment of the routes on site, and coordinate with the customer to make sure these routes remain optimized overtime. • Analyze robot logs, sensor data, and system metrics using tools such as Foxglove, RViz, RQT_Bag, and PlotJuggler. • Diagnose hardware, software, perception, and infrastructure issues in the field. • Own incident resolution across Tier 1–3 support, ensuring fast MTTR and clear root-cause documentation. • Monitor fleet health and KPIs using Grafana and internal dashboards. • Provide structured feedback from the field to Product, Engineering, QA, and Perception teams. • Support validation activities including FoV studies, data collection, and perception audits. • Collaborate with OEM partners to integrate robotics hardware and software into new vehicle platforms. • Build and maintain scalable deployment playbooks, checklists, and Jira-based workflows.

• Automate and scale infrastructure provisioning using Infrastructure-as-Code to support self-service for engineering teams • Maintain and improve CI/CD pipelines, tooling, and deployment workflows across multiple services • Monitor and troubleshoot systems to ensure high availability, performance, and reliability • Drive incident response, root cause analysis, and collaborate with teams to resolve infrastructure or deployment issues • Optimize cloud infrastructure for performance and cost, leveraging metrics and usage analysis • Evaluate and implement new tools and services that improve our DevOps practices and developer experience • Collaborate across teams to ensure cloud best practices and knowledge sharing • Participate in a light on-call rotation to support infrastructure-related needs