Site Reliability Engineer (SRE) – GCP Platform

About the job

• Automation & Toil Reduction: Design, build, and maintain automation tools and infrastructure-as-code (IaC) to eliminate manual operational tasks and streamline deployment workflows.
• Service Level Management: Collaborate with product and development teams to define, monitor, and enforce Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical services.
• Observability & Monitoring: Design and implement robust monitoring, alerting, and logging systems to ensure deep visibility into application and infrastructure health.
• Incident Management & Post-Mortems: Participate in an on-call rotation to provide operational support. Lead and participate in blameless post-mortems to identify root causes and implement preventative measures.
• Cloud Architecture & Scalability: Optimize GCP cloud infrastructure for performance, cost, and scalability. Manage load balancing, traffic routing, and auto-scaling configurations.
• CI/CD Pipeline Engineering: Support and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure safe, predictable, and frequent software releases.
• Disaster Recovery & Resilience: Plan, implement, and test disaster recovery, failover, and backup strategies to guarantee business continuity.
• Collaboration & Code Review: Review application architecture and code to ensure adherence to production readiness standards, security best practices, and scalability guidelines.

Education & Experience

• Typically requires a bachelor’s degree in computer science, Information Technology, or a related field, 5 to 8 years of related experience in an SRE, DevOps, or Cloud Systems Engineering role; or an equivalent combination of education and experience.

Knowledge, Skills, Abilities

Technical Skills (SRE & GCP Core):

• Cloud Platform: Experience deploying and managing workloads in Google Cloud Platform (GCP). Familiarity with core services such as GKE (Google Kubernetes Engine), Compute Engine, Cloud Run, Cloud Functions, and Big Query.
• Containers & Orchestration: Strong understanding of Docker and Kubernetes management, deployment, and troubleshooting.
• Infrastructure as Code (IaC): Hands-on experience with tools like Terraform to provision and manage cloud infrastructure.
• Linux/Unix Systems: Deep knowledge of Linux/Unix administration, networking protocols (TCP/IP, DNS, HTTP/S), and system internals.
• Programming/Scripting: Proficiency in at least one scripting or programming language used for automation (e.g., Python, Go, or Bash).
• Observability Stack: Experience with monitoring and logging tools, specifically GCP Cloud Monitoring/Logging (Stack driver), or open-source equivalents like Prometheus, Grafana, and the ELK stack.
• CI/CD Tools: Experience with modern deployment pipelines and version control tools (e.g., GitHub Actions, GitLab CI, Jenkins, or Google Cloud Build).

Soft Skills & Process:

• Problem-Solving: Excellent troubleshooting and analytical skills, with a proven ability to debug complex, distributed systems under pressure.
• Blameless Culture: Understanding of SRE culture, focusing on systemic fixes rather than human error during incident retrospectives.
• Change Management: Demonstrated adherence to modern Change Management and GitOps workflows to ensure safe production changes.
• Communication: Ability to interface well and collaborate effectively with software developers, product managers, security teams, and business stakeholders.

Physical Demands / Certifications

• Preferred Certifications: Google Cloud Certified Professional Cloud DevOps Engineer, Professional Site Reliability Engineer, or Certified Kubernetes Administrator (CKA) is a strong plus.