Engineer,Site Reliability

Responsibilities:

• Monitor system health, alerts, dashboards, and logs across cloud and on-prem infrastructure.
• Ability to isolate functional issue with application versus platform
• Execute standardized runbooks for incident resolution, deployments, and routine tasks.
• Perform initial triage of incidents and escalate to Sr. Engineer/ Principal Engineer as needed to mitigate the issue to get to bypass.
• Document new issues, gaps in runbooks, and automation opportunities.
• Provide excellent communication to stakeholders during incidents.
• Support onboarding of new applications into the operations framework.

Skills Mandatory Skills (Must-Have):

System & Infrastructure Monitoring:

• Expectation: Ability to use monitoring dashboards (e.g., Grafana, Datadog, Splunk, Argos, AIOps) to identify anomalies, follow alert workflows, and escalate when thresholds are breached.
• Example: When a Kubernetes pod crash-loop is flagged in Prometheus, Engineer should validate it against runbooks, check pod logs, and escalate if restart attempts fail.

Runbook Execution:

• Expectation: Strictly follow documented steps to resolve standard incidents, escalate when steps do not apply or fail.
• Example: Use a provided runbook to restart a failed API proxy service; if error persists beyond documented steps, escalate to SR ENGINEER/ PRINCIPAL ENGINEER.

Incident Triage & Communication:

• Expectation: Perform first-line triage of alerts, gather logs/metrics, categorize severity, and notify stakeholders in clear, concise language.
• Example: For a database connection timeout, collect error logs, verify service reachability, and provide a detailed incident note to SR ENGINEER/ PRINCIPAL ENGINEER before escalation.

Kubernetes (Cloud or onprem) operations knowledge:

• Expectation: Ability to check pod status, understand logs, and verify service endpoints using kubectl and monitoring tools.
• Example: Run kubectl get pods -n to verify if deployments are healthy.

Scripting (Python, Bash, PowerShell):

• Expectation: Able to read and make small edits to scripts to automate repetitive checks.
• Example: Modify a Bash script to include an additional log path in a health check.

Networking & Security Awareness:

• Expectation: Understand troubleshooting (ping, netstat, curl, traceroute) and know when issues may be related to firewall, WAF, or proxy.
• Example: For an unreachable service, confirm DNS resolution and connectivity before escalating to SR ENGINEER/ PRINCIPAL ENGINEER.

Documentation & Knowledge Capture:

• Expectation: Accurately record steps taken during incidents, suggest runbook updates where gaps exist.
• Example: After handling an alert for disk usage, note missing cleanup steps in the runbook and flag for update.

Preferred Skills (Nice-to-Have):

Cloud Platform Familiarity (AWS, Azure, GCP):

• Expectation: Understand basics of cloud services (VMs, load balancers, storage) and how to navigate a cloud console.
• Example: Use AWS Console to check EC2 instance health status when a service alert is triggered.

Database Basics (SQL/NoSQL):

• Expectation: Run simple queries to validate DB connectivity and health.
• Example: Execute SELECT 1; to verify a database is reachable.

Automation & Self-Service Mindset:

• Expectation: Identify repetitive manual steps and propose candidates for automation.
• Example: Flag that manual log collection during outages could be replaced with a script.
• Exposure to Incident Management Tools (xMatters, ServiceNow, Jira, etc.)
• Expectation: Comfortable working within ITSM/incident workflows.
• Example: Log incident details in ServiceNow with accurate categorization and timestamps.

AI/Chatbot-Assisted Ops (emerging skill):

• Expectation: Use AI assistants to search runbooks or suggest remediation steps.
• Example: Ask an AI ops assistant to summarize logs before escalation.

Qualifications:

• 5+ years in IT operations, NOC, or SRE/DevOps engineer role.
• Kubernetes 101, Linux 101, Networking 101
• Understanding of cloud-ready applications
• Understanding of observability tools (Prometheus, Grafana, ELK, Splunk, etc.).
• Strong troubleshooting mindset, ability to follow structured workflows. Eg: 5 Whys and Fishbone

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