Google Site Reliability Engineer

SPECTRAFOR is seeking a Google Site Reliability Engineer to combine software engineering with systems and infrastructure operations. The role involves managing incident detection, logging, and ensuring reliability through various monitoring and automation practices.

Responsibilities:

• Responsible for Incident Detection & Logging and meeting agreed SLA for incident tickets
• Responsible for Bridge Activation & Communication (P1–P2)
• Postmortem Preparation (Within 24–72 Hours) & Root Cause Analysis
• Responsible for critical monitoring activities, Problem Management & Grafana Integration
• Participate in oncall rotations, handle incidents, and drive timely mitigation and recovery
• Automating operational work so services can scale without manual toil also operating highly available, low latency & secure systems
• Defining and measuring reliability through SLIs/SLOs and error budgets
• Build and maintain observability: metrics, logs, traces, dashboards, and alerts for critical services
• Tune alerting to reduce noise while ensuring rapid detection of user impacting issues
• Lead or contribute to post incident reviews and root cause analysis and ensure follow up actions are implemented to prevent recurrence

Requirements:

• Responsible for Incident Detection & Logging and meeting agreed SLA for incident tickets
• Responsible for Bridge Activation & Communication (P1–P2)
• Postmortem Preparation (Within 24–72 Hours) & Root Cause Analysis
• Responsible for critical monitoring activities, Problem Management & Grafana Integration
• Participate in oncall rotations, handle incidents, and drive timely mitigation and recovery
• Automating operational work so services can scale without manual toil also operating highly available, low latency & secure systems
• Defining and measuring reliability through SLIs/SLOs and error budgets
• Build and maintain observability: metrics, logs, traces, dashboards, and alerts for critical services
• Tune alerting to reduce noise while ensuring rapid detection of user impacting issues
• Lead or contribute to post incident reviews and root cause analysis and ensure follow up actions are implemented to prevent recurrence
• Knowledge/experience in GCP (Big Query, Cloud storage, Dataproc, GKE, Airflow/Composer, Pub-sub, Cloud function, Cloud SQL etc)
• Knowledge/experience in Github & Visual Studio code
• Knowledge/experience in MS-Copilot
• Knowledge/experience in Prometheus, Grafana & Splunk
• Clear written and verbal communication, particularly under pressure (e.g., during incidents)
• Ability to collaborate across multiple teams and influence engineering practices through expertise rather than authority
• Strong communication, analytical, Knowledge on entire Incident management life cycle process, Agile model experience, and problem-solving skills
• Knowledge in Python/Pyspark/Machine learning is an added advantage