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 setting. 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.

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,Sre

📌 SENIOR ENGINEER - Google cloud Monitoring and Logging (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru