ENGINEER - Google cloud Monitoring and Logging

Job Description
Job Description: Support Engineer I (Tier 1 ? NOC Operations)
Vendor Partner: Happiest Minds Technologies Client: DoubleVerify Team: NOC Tier 1 ?
SRE Operations Support Designation (DV): Support Engineer 1 Work Schedule: 24x7
Shift-Based (Rotational)
Role Overview
The Support Engineer I (Tier 1) is the first line of defense for DoubleVerify's production
environment. Operating as part of the Happiest Minds NOC team embedded within DV's
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.
Key Responsibilities
Alert Monitoring & Incident Management
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
Escalation & Cross-team Collaboration
Escalate unresolved or out-of-scope issues to Tier 2 and Tier 3 teams via
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
Operational Execution
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
SOP Adherence & Knowledge Management
Follow current SOPs for all alert types; never deviate without Tier 2 guidance
Flag SOPs that are outdated, missing, or require updates by raising a Jira request to
the SI/DataOps team
Contribute to SOP creation efforts when knowledge transfers are conducted
Participate in Knowledge Transfer (KT) sessions to continuously expand scope of
independently handled alerts
Tools & Platforms
Category
Tools
Monitoring & Alerting
Grafana, Nagios, PagerDuty, Site24x7, Prometheus/AlertManager
OpenLens, AWX, GCP Console
Data Platforms
Snowflake, Rivery, Vertica, Splunk
Automation & CI/CD
Rundeck, GitLab Pipelines
Ticketing
Freshservice, Jira
Communication
Slack (multiple channels), Google Meet
Required Skills & Qualifications
1?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
Behavioral Expectations
Act with urgency on high-priority alerts without bypassing process
Proactively communicate status updates ? do not wait to be asked
Escalate with complete context, not just a forward of an alert
Treat every shift handover as a critical knowledge transfer
Google cloud Monitoring and Logging, Google Kubernetes Engine (GKE), Grafana, Linux OS

Work arrangement
No