Live opening · Posted 4 days ago

SENIOR ENGINEER - Google cloud Monitoring and Logging

Happiest Minds · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 4 days ago
CompanyHappiest Minds
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed4 days ago

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About the role

Description supplied by the original job listing.

Job Description
Work Schedule: 24x7 Shift-Based (Rotational)
Role Overview
The Support Engineer I (Tier 1) is the first line of defense for production environment. Operating as part of the Happiest Minds NOC team embedded within TechOps organization, this role is responsible for monitoring, triaging, and resolving production alerts across multiple platforms and products 24 hours a day, 7 days a week. The engineer is expected to work strictly within defined Standard Operating Procedures (SOPs), escalate intelligently to Tier 2 / Tier 3 teams when needed, and contribute to reducing overall escalation rates over time.
Responsibilities
Monitor production alert channels (PagerDuty, Grafana, Nagios, Site24x7, Slack alert channels) continuously during assigned shift
Triage incoming alerts, assess severity, and respond within defined SLA targets
Follow SOPs to investigate, acknowledge, silence, or resolve alerts across products including Pinnacle, Social Integrations, Programmatic, Publisher, Measurement, and TechOps
Raise Freshservice tickets for all actionable alerts and maintain accurate ticket status throughout the lifecycle
Execute alert silencing via AlertManager using correct durations; avoid short silencing windows that cause ticket re-inflation
Escalate unresolved or out-of-scope issues to Tier 2 and Tier 3 teams via PagerDuty with sufficient context and findings documented
Validate root cause before escalating , avoid passing incomplete or unclear information upstream.
Coordinate with DBA, Analytics, SI, DataOps, and SRE teams through Slack alert threads, following proper tagging protocols
Avoid directly pinging on-site DV team members; route escalations via defined channels and the @support_group alias
Execute Kubernetes pod scaling procedures (e.g., incremental scaling via Grafana/Lens) as directed by Tier 2 leads
Monitor Salesforce loader jobs and reprocessing pipelines, following documented runbooks
Run Snowflake queries using the alert conditions
Trigger pipeline reruns (DAG tasks, Rivery rivers, Rundeck jobs) per SOP when applicable
Verify certificate status on Site24x7 and confirm renewals post-update
CategoryToolsMonitoring & AlertingGrafana, Nagios, PagerDuty, Site24x7, Prometheus/AlertManagerKubernetesOpenLens, AWX, GCP ConsoleData PlatformsSnowflake, Rivery, Vertica, SplunkAutomation & CI/CDRundeck, GitLab PipelinesTicketingFreshservice, JiraCommunicationSlack (multiple channels), Google Meet
Reqiured Skills
2 years of experience in a NOC, production support, or IT operations role
Familiarity with Linux command-line basics and reading system logs
Basic understanding of cloud infrastructure concepts (GCP, Kubernetes preferred)
Ability to read and execute SQL queries (Snowflake experience is a plus)
Exposure to monitoring and alerting tools (Grafana, Nagios, or similar)
Strong attention to detail and ability to follow documented procedures accurately
Good written communication skills in English for Slack coordination and ticket documentation
Ability to work in a 24x7 rotational shift environment, including nights and weekends
Grafana,Linux OS,Kubernetes,GCP,NAGIOS,Site24x7,Site Reliability Engineering,Google Cloud Platforms

Work arrangement
No

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