• Own and drive the technical vision, architecture, and standards for data enablement within the CVML and robotics platform. • Serve as technical lead for major initiatives, guiding design, implementation, and delivery. • Mentor and coach Senior and Staff Engineers from a technical standpoint through design reviews, code reviews, and architectural guidance. • Design, build, and maintain scalable APIs and backend services exposing robotics, sensor, simulation, and ML lifecycle data. • Lead development of developer-facing applications and visualizations supporting model training, evaluation, debugging, and deployment workflows. • Architect, build, and operate data pipelines and workflows • Define and implement infrastructure-as-code with Terraform and Terragrunt. • Establish and evolve observability standards using Prometheus and Grafana. • Partner closely with MLEs, Data Scientists, Robotics Engineers, and Product to translate workflows into robust platform capabilities. • Get hands-on to unblock teams, resolve complex technical challenges, and lead response to high-priority incidents. • Clearly communicate technical decisions, tradeoffs, and architectural rationale to engineering and leadership stakeholders. • Applies a customer-first approach to platform design, ensuring solutions solve meaningful customer problems at scale.

• You will own production infrastructure, reliability, and security. Your job is to make the platform secure, scalable, and reliable as usage grows fast. • Design and operate a secure, resilient, multi-cloud platform, making and defending architectural choices as the system scales • Operate high-throughput distributed systems; define SLOs, capacity models, and cost controls • Write and maintain production code, tooling, and automation with a strong focus on performance, reliability, and correctness. • Ensure safe releases, fast rollbacks, strong observability, and effective incident response • Infrastructure ownership for SOC 2 and similar regimes (access controls, isolation, encryption, auditability) • Improve the local-to-prod experience to unlock engineering speed

• Owns medium-sized projects and features for the platform; begins influencing teams that consume the platform. • Lead the design and implementation of new platform features (e.g., adding support for a new model in AWS Bedrock). • Independently build and manage the platform's integrations with tools. • Optimize the platform for cost, performance, and scalability. • Mentor junior engineers on platform development best practices. • Serve as the primary administrator and subject matter expert for our low-code/no-code automation platforms (Zapier, n8n, Tines). • Partner directly with Marketing, Sales, Operations, and Analytics teams to understand their challenges and identify opportunities for AI-powered automation. • Implement and manage robust CI/CD pipelines for deploying AI integrations and automation workflows using tools like Terraform and native cloud services.

• Design and deploy scalable, resilient multi-cloud architectures (Azure, AWS, GCP) • Create, maintain, and refactor complex Terraform modules from scratch • Develop and manage Ansible playbooks, roles, and collections • Enable the business to leverage AI by managing and scaling cognitive services • Translate high-level business requirements into technical blueprints • Build and maintain robust delivery pipelines in Azure DevOps