Senior Site Reliability Engineer

Summary

Join Focal Systems, a leading retail AI solutions company, as a Sr. DevOps/Site Reliability Engineer. You will play a crucial role in ensuring the smooth operation and continuous improvement of our infrastructure. Responsibilities include managing large GCP Kubernetes clusters, ensuring 99.9% uptime for distributed services, and collaborating with various teams on infrastructure automation. You will also design and manage a robust CI/CD pipeline and lead uptime improvement processes. This role requires extensive experience in SRE, containerization, cloud cost management, and various technologies. The position offers a competitive salary, stock options, paid time off, quarterly team retreats, and education grants.

Requirements

• Solid experience in an infrastructure or Site Reliability Engineer (SRE) role
• Hands-on experience with containerization (Docker) and orchestration platforms (Kubernetes) required
• Experience in cloud cost management
• Great understanding of SQL, networking, distributed systems, operating systems (debian) and software engineering practices
• Experience with messaging systems
• Terraform or other Infrastructure as Code automation solution
• Operating Relational SQL databases and Redis at terabyte scale
• Proven experience with setting up monitoring/alerting and reliability engineering
• Scriptings skills in Python
• Must be comfortable with 12-hour on call rotations

Responsibilities

• Set up and manage blue/green and canary deployments to ensure smooth launches without downtime
• Operate multiple large GCP Kubernetes clusters and fine tune for reliability vs cost
• Manage the various distributed services of the company, ensuring to always provide graceful updates, comprehensive test coverage, tracking of logs, and 99.9% uptime
• Work with Backend, Frontend and Deep Learning teams and write infrastructure automation code for their needs
• Identify scalability bottlenecks through load testing and plan infrastructure architecture
• Create tools to provide transparency/ease of access into the company's rich datasets stored across varying geographic locations and data formats
• Design, build, and manage a robust Continuous Integration and Continuous Deployment (CI/CD) pipeline
• Lead uptime improvement processes including: postmortem review, on-call setup

Preferred Qualifications

• GitOps
• Setting up automation for complex load testing scenarios
• Tuning Deep Learning pipelines with Python, Pytorch and Multiprocessing
• Backend programming with Python

Benefits

• Competitive Salary & Attractive Stock
• Paid Time Off
• Quarterly Team Retreats
• Education grants