DevOps Engineer - Autonomous Workspace Platform

• Cloud Infrastructure & Architecture: Play an important role in shaping our AWS-first cloud architecture, with a focus on scalability, reliability, security, innovation, and long-term success.
• Production Reliability: Tackle large-scale production issues and proactively improve the reliability, efficiency, availability, and observability of our cloud services.
• Cross-Functional Collaboration: Work closely with stakeholders across R&D, Security, Product, and other groups to ensure seamless integration of DevOps practices.
• Automation & Developer Experience: Automate and streamline operations and development processes, reduce manual intervention, and improve the developer experience.
• Security & Cost Optimization: Help ensure that our infrastructure is secure, efficient, aligned with organizational standards, and cost-effective.
• Cloud Operations Excellence: Drive improvements in deployment practices, monitoring, infrastructure management, and operational maturity.

• 4+ years of relevant DevOps experience in large-scale production environments.
• Extensive experience with cloud computing technologies, preferably AWS.
• Experience with monitoring and observability tools, especially Grafana.
• Proven experience with Infrastructure as Code tools, such as Terraform.
• Experience with GitOps and CI/CD methodologies and tools.
• Proven experience working with Kubernetes or managed container services, such as EKS, AKS, or ECS, in production environments.
• DevOps security mindset, including understanding of secure development lifecycles, cloud security, and infrastructure security.
• Strong ability to independently analyze problems, suggest practical solutions, and drive implementation end to end.
• Excellent communication skills and the ability to work effectively with cross-functional stakeholders.

Preferred Qualifications

• Experience with both AWS and Azure.
• Experience with managed data services such as MongoDB Atlas, Azure Data Explorer, Cosmos DB, Amazon RDS, or Amazon Aurora.
• Experience with PostgreSQL management, performance tuning, and optimization.
• Python scripting or development experience.