Site Reliability Engineer

Overview

The Site Reliability Engineer maintains the production environment with high availability, monitors it, and troubleshoots operational issues, acting as a bridge between Ops, Engineering and Product management to represent the customer point of view.

What you'll do

• Own Incident, Problem, and Change Management to maintain high availability across the cloud-native security infrastructure (SSE/CASB) and global POPs.
• Lead live troubleshooting during major outages, coordinate across engineering teams to restore service fast, and write thorough Post-Incident Reviews (PIRs) / RCAs to prevent repeat issues.
• Dig into metrics, logs, and dashboards to spot trends, tune noisy alerts, find performance bottlenecks, and build self-healing automation.
• Write code (Python/Go) and build AI-assisted workflows and agents to automate repetitive operational tasks, incident triage, and diagnostics.
• Write, test, and maintain clear Standard Operating Procedures and runbooks for on-call engineers and automated tooling.
• Coordinate planned maintenance windows, production change rollouts, and routine vulnerability patching across commercial and regulated environments.
• Participate in a global, follow-the-sun on-call rotation every few weeks to support the 24x7 production environment.

What you'll need

• Bachelor's degree with 4-6 years of hands-on experience in SRE, DevOps, or Linux Systems Engineering.
• Solid working knowledge of AWS core services and experience running containerized workloads on Kubernetes (EKS).
• Strong Linux systems administration skills and practical experience managing web/proxy servers (Nginx, Apache, Tomcat).
• Hands-on experience setting up dashboards, queries, and alerts using Prometheus, Grafana, OpenSearch/ELK, CloudWatch, and PagerDuty.
• Day-to-day experience with GitHub, configuration management (Ansible or Salt), and deployment pipelines (Jenkins, Harness, ArgoCD, or GitHub Actions).
• Solid grasp of core networking concepts including TCP/IP, UDP, DNS, proxies, and load balancing.
• Ability to write clean scripts and automations in Python or Go.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Strong interest or practical experience working with LLM APIs, Agentic AI, or tool integrations (like MCP) to solve operational problems.
• A methodical approach to debugging complex distributed systems, paired with clear written communication for incident timelines and RCA documentation.

Nice to have

• Hands-on network administration or troubleshooting experience in cloud or hybrid environments.
• Working knowledge of SQL and NoSQL data stores (Postgres, Redis, Cassandra, Couchbase, CrateDB).
• Familiarity with workflow orchestration engines like Temporal, Cadence, AWS Step Functions, or Airflow.
• Experience using secrets management tools like HashiCorp Vault.
• Prior background in the Cloud Security (SSE, CASB, SWG, DLP) domains.

Details

• Hybrid work model.
• Participation in a global, follow-the-sun on-call rotation every few weeks.