Grammarly is hiring a
DevOps Engineer

Summary

Join Grammarly's Data Platform team as a Senior DevOps Engineer and lead cloud infrastructure design, automation, and management, focusing on Databricks and AWS. You will be critical in optimizing data processing and machine learning workflows, guaranteeing high performance and uptime for critical systems.

Requirements

• Has 5+ years of experience in DevOps with expertise in managing AWS infrastructure and Databricks environments
• Has strong experience with Spark clusters, data lakes, and managing large-scale data pipelines in a cloud environment
• Is skilled in orchestration, monitoring, and logging, using tools like Terraform, Kubernetes, and Airflow for managing cloud resources and data workflows
• Understands security and compliance best practices, ensuring data infrastructure is secure, compliant, and aligned with privacy regulations
• Has experience with cost management and optimization of cloud resources, with a focus on AWS and Databricks
• Is a problem solver who enjoys building scalable, automated solutions that improve platform reliability and efficiency
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust

Responsibilities

• Design, implement, and manage scalable infrastructure focusing on Databricks, AWS, and Spark clusters to support data pipelines and lakes
• Build and optimize CI/CD pipelines for deploying and managing Databricks clusters, data pipelines, and real-time data workflows
• Use tools like Terraform, Kubernetes, and Ansible to orchestrate and automate infrastructure tasks, including provisioning, scaling, and monitoring
• Implement and manage monitoring and logging systems to ensure data infrastructure's high availability, security, and performance, focusing on Databricks and AWS environments
• Implement cloud security best practices, manage access control and encryption, and ensure the platform complies with data privacy regulations to ensure security and compliance
• Collaborate with cross-functional teams to maintain cost management strategies, optimizing resource utilization across Databricks, AWS, and other data infrastructure components

Benefits

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities