Senior Site Reliability Engineer

We are seeking a hands‑on Senior Site Reliability Engineer (SRE) to support the reliability, scalability, and performance of our production systems, with a strong focus on observability, automation, and operational excellence. This role partners closely with development, operations, and product teams to improve system health, automate workflows, and ensure resilient services.

Grafana expertise is a core requirement.

This role will own and support dashboards, metrics, and performance analysis used across the organization. You will also maintain and extend existing Python‑based automation and data ingestion jobs that feed an infrastructure data warehouse used for reporting and operational insights.

This is a production‑focused role emphasizing continuity, practical execution, and reliability over theory‑heavy SRE practices.

• Design, implement, and support automated deployment, monitoring, and alerting solutions
• Build, manage, and maintain scalable infrastructure using Infrastructure as Code (IaC) tools
• Own and support Grafana dashboards, visualizations, and data sources for reliability and performance monitoring
• Maintain and extend existing Python automation and data ingestion jobs integrating data from multiple systems into an infrastructure data warehouse
• Improve observability through enhanced logging, metrics, monitoring, and alerting strategies
• Diagnose and resolve production issues quickly while minimizing downtime and business impact
• Partner with development and operations teams to improve system reliability, scalability, and efficiency
• Create and maintain operational documentation, runbooks, and best practices
• Support knowledge transfer and continuity for existing automation and monitoring solutions

• Primary ownership of on‑call rotations

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Proven experience in an SRE, Platform Engineer, or similar production‑focused role
• Strong hands‑on experience with Grafana for monitoring, visualization, and operational analysis
• Strong programming or scripting skills, particularly in Python
• Experience with Infrastructure as Code tools such as Terraform, Ansible, or equivalent
• Experience designing or supporting automated deployment and monitoring solutions
• Familiarity with CI/CD pipelines and related tooling
• Experience working in cloud environments such as AWS, Azure, or Google Cloud
• Strong troubleshooting skills and ability to operate calmly in production environments
• Excellent communication skills and ability to collaborate across technical teams
• Comfortable working in a fast‑paced, evolving environment

• Experience with Prometheus or other time‑series databases
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes
• Understanding of networking and security best practices
• Experience with database administration, performance tuning, or optimization
• Exposure to data pipelines or operational reporting platforms

• Current team member supporting this area remains through the end of April
• Knowledge transfer and overlap time is strongly preferred
• Goal is rapid onboarding to avoid transferring an unsustainable workload

• Week A:
  In office Monday–Wednesday, remote Thursday–Friday
• Week B:
  Remote Monday–Wednesday, in office Thursday–Friday
• Schedule rotates every five business days