Where You AreWe are a fully remote company with a focus on hiring during US time zones. While we embrace a remote-first culture, time zones will be an important consideration for collaboration.
What You'll Do- Champion reliability and uptime: Define, measure, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to ensure our cloud-native applications perform optimally.
- Design, implement, and maintain Infrastructure as Code across multiple environments, primarily focusing on Google Cloud (GCP).
- Manage incident response and blameless post-mortems, troubleshooting complex systemic issues and building automation to prevent recurrences.
- Implement and manage advanced observability stacks (monitoring, logging, alerting, and distributed tracing) to ensure infrastructure reliability and proactive issue detection.
- Collaborate with development teams to streamline application deployment workflows, optimize capacity planning, and enforce best practices for scalable architecture.
Required Skills- 5+ years of experience in Site Reliability Engineering or DevOps, with a deep understanding of cloud infrastructure, high availability, and distributed systems.
- Strong expertise with Kubernetes (GKE preferred) for container orchestration, including hands-on experience with Helm for deployment management.
- Solid proficiency with Google Cloud (GCP) and hands-on experience using gcloud. Experience with AWS or Azure is also valuable.
- Proficient in scripting languages such as Python or Bash.
- Deep expertise in setting up and managing observability tools, specifically Google Cloud Operations Suite (Cloud Logging, Cloud Monitoring, Cloud Trace) and Google Managed Service for Prometheus.
- Excellent problem-solving and troubleshooting skills under pressure.
Preferred Skills- Familiarity with configuration management tools (e.g., Terraform, OpenTofu).
- Experience with automated incident management platforms (e.g., PagerDuty, Opsgenie).
- Exposure to microservices architectures and best practices for resilient deployment.
