Lead the security and compliance program while managing security tools and cloud infrastructure. Collaborate across teams to implement automated solutions and enhance security processes, ensuring readiness for audits and compliance standards.

• Balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems. • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads. • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters. • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.). • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime. • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs. • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences. • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform. • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments. • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure. • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.). • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements. • Document processes and procedures to ensure consistency and knowledge sharing across the team. • Contribute to open-source projects, research publications, blog articles and conferences.

• Design, implement, and maintain scalable infrastructure solutions in GCP. • Build, optimize, and manage CI/CD pipelines for application deployments. • Develop and maintain Infrastructure as Code using Terraform. • Containerize applications and manage deployments using Kubernetes and Docker. • Implement monitoring, logging, and alerting solutions to ensure system reliability and performance. • Collaborate with development teams to streamline deployment processes and improve delivery speed. • Automate repetitive tasks and operational processes through scripting and tooling. • Ensure security best practices are applied across cloud infrastructure and pipelines. • Troubleshoot and resolve issues across environments, ensuring minimal downtime. • Design reusable infrastructure templates and deployment standards for multiple teams. • Continuously optimize cloud costs, performance, and scalability. • Support and guide teams in adopting DevOps best practices and cloud-native solutions. • Participate in architecture discussions and contribute to technical decision-making. • Stay up to date with DevOps, Kubernetes, and GCP trends and emerging technologies. • Work closely with cross-functional teams to ensure high-quality, reliable product delivery.

• Supports the design, implementation, and maintenance of scalable, secure, and automated infrastructure and deployment pipelines for applications and services. • Builds and maintains CI/CD pipelines to support reliable deployment of applications and services. • Contributes to infrastructure as code (IaC) development using tools such as Terraform or CloudFormation. • Supports and maintains AWS environments, enhancing scalability, performance, and cost-efficiency. • Implements monitoring, logging, and alerting solutions to ensure system reliability and visibility. • Collaborates with development teams to integrate DevOps best practices into the software development lifecycle. • Automates operational tasks and improves system resilience through scripting and tooling. • Supports security and compliance by applying guardrails, policies, and vulnerability management practices. • Participates in incident response and root cause analysis to enhance system reliability. • Contributes to DevOps standards, documentation, and knowledge sharing across the team.