Senior SRE Engineer II

Key Responsibilities

• Own the health of monitoring by scaling and tuning Prometheus for metrics collection and designing advanced, actionable dashboards in Grafana.
• Collaborate with product and software engineering teams to define, track, and enforce Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets.
• Design high-signal alerting rules that filter out noise, reduce alert fatigue, and directly map to user-facing degradation. Participate in a sustainable on-call rotation.
• Lead technical response during critical production incidents. Facilitate Root Cause Analysis (RCA) and track corrective actions to build permanent engineering safeguards against recurrence.
• Identify operational pain points and eliminate repetitive manual tasks by building robust internal automation tools and scripts.
• Maintain and ensure the high availability of foundational monitoring infrastructure.
• Conduct system load testing, capacity planning, and architectural reviews to predict and prevent performance bottlenecks before they impact customers.
• Introduce controlled failures into testing and production environments to validate system resilience and failover automation.
• Manage, scale, and optimize production-grade Kubernetes clusters ensuring high availability, optimal resource allocation, and strict security compliance.
• Drive infrastructure predictability by managing continuous deployment and environment syncs.
• Design, maintain, and dry-run declarative cloud structures using modern configuration management platforms (e.g., Ansible) and template tools (e.g., Helm charts) to guarantee environment parity.

Required Skills & Qualifications

• 8-10 years of hands-on experience in DevOps and Site Reliability Engineering roles.
• Expert-level knowledge of Prometheus (PromQL, alerting rules, exporters) and Grafana (dashboard creation, data source integration, alerting).
• Deep operational expertise with Docker, GKE, and AKS.
• Strong proficiency in Terraform, alongside the ability to write automation tools
• understanding of Linux systems internals and multi-cloud networking concepts (VPC peering, Azure VNets, VPN Gateways, DNS, Load Balancing).
• Experience implementing GitOps workflows (e.g., ArgoCD or Flux).
• Familiarity with log aggregation stacks that pair with Grafana (like Loki or Elasticsearch)

Preferred Qualifications

• Proven, production-level experience managing cloud infrastructure esp. GCP and Azure
• Relevant certifications, such as Google Cloud Professional Cloud DevOps Engineer, Microsoft Certified: Azure DevOps Engineer Expert, or Certified Kubernetes Administrator (CKA).