Datadog Administration and Operations (Servicenow)

HP; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

HP is seeking a Datadog administration and operations expert to manage our observability platform across infrastructure and applications. You will implement and scale tools, governance, and processes to support DevOps and engineering teams with actionable insights.

The role emphasizes observability architecture, incident response improvements, and automation via IaC, with strong collaboration across multiple teams to maintain reliability and reduce noise.

Qualifications

• Bachelor’s degree in CS, Engineering, Information Systems, or equivalent.
• 5–8+ years in Infrastructure/Platform/SRE/Observability roles in enterprise environments.
• Expert hands-on Datadog: agents, integrations, logs pipelines, APM/tracing, dashboards, and tagging strategies.
• ServiceNow: Event Management, CMDB, integrations, and enrichment.
• Proficiency with scripting (Python/PowerShell/Bash) and APIs.

Responsibilities

• Design and own an enterprise observability strategy with Datadog and ServiceNow integration.
• Deploy and manage Datadog agents, integrations, and dashboards at scale.
• Define monitoring standards, SLOs/SLIs, and alerting policies for infra and apps.
• Maintain reliability metrics, reduce alert noise, and drive MTTR improvements.
• Automate monitor provisioning, dashboards, and service workflows with IaC.
• Governance and cost optimization of Datadog usage with retention policies.

Skills

Datadog

ServiceNow

Linux/Windows

Scripting (Python)

OpenTelemetry

MTTR

Communication

Education

Bachelor’s degree in CS/Engineering/IS

Tools

Datadog

ServiceNow

Kubernetes

Terraform

AWS/Azure/GCP

Job description

Description

We’re seeking a Datadog administration and operations expert who will be responsible for managing our observability platform to ensure comprehensive monitoring, alerting, and performance analytics across infrastructure and applications. This role is critical for maintaining system reliability, improving incident response, and supporting DevOps and engineering teams with actionable insights. This is an exciting opportunity to get in on the ground floor implementing and scaling the tools, processes, and governance at HP.

Responsibilities

• Observability Architecture & Ownership
  • Design and implement an enterprise‑grade observability strategy spanning Datadog (metrics, logs, traces/APM, synthetics, RUM, network performance, cloud cost) and integrations with ServiceNow.
  • Define monitoring standards, tagging conventions, dashboards, SLOs/SLIs, and alerting policies for infra and apps (on‑prem, cloud, containers).
• Datadog Implementation & Scale
  • Deploy and manage Datadog agents, integrations (AWS/Azure/GCP, Kubernetes, NGINX, DBs, messaging), and service catalog coverage.
  • Build golden dashboards, standardized monitors, and runbooks for infra components (compute, storage, network), platforms (Kubernetes), and critical apps.
• ServiceNow Integration & Event Management
  • Implement and optimize Datadog → ServiceNow event routing, correlation rules, deduplication, and Incident/Problem auto‑creation with enriched context.
  • Maintain CI relationships in ServiceNow CMDB, drive discovery mapping, and align alerts with CI ownership and support groups.
  • Enable closed‑loop remediation using IntegrationHub, workflows, and change controls; contribute to Change Advisory Board (CAB) standards.
• Reliability Engineering & Operational Excellence
  • Maintain SLOs, error budgets, and escalation policies. Reduce alert noise; drive actionable, tiered alerts.
  • Partner with App, Infra, SecOps, and NOC teams to improve MTTR and post‑incident reviews with telemetry‑backed corrective actions.
• Automation & IaC
  • Automate provisioning of monitors, dashboards, synthetics, tags, and service owner mapping.
  • Build runbooks, remediation scripts, and service workflows; integrate with CI/CD to promote consistent monitoring across environments.
• Governance, Compliance & Cost Optimization
  • Implement data retention policies, access controls, RBAC, and tagging for chargeback/showback.
  • Optimize Datadog usage (APM sampling, log pipelines/archives, metric volumes) while protecting critical visibility.

Preferred Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• 5–8+ years in Infrastructure/Platform/SRE/Observability roles for enterprise environments.
• Expert hands‑on Datadog: agents, integrations, logs pipelines, APM/tracing (including OpenTelemetry), RUM, synthetics, dashboards, monitors, service catalogs, tagging strategies.
• ServiceNow: Event Management, Incident/Problem/Change, CMDB design, Discovery, integration patterns (webhooks, APIs, IntegrationHub), event correlation and enrichment.
• Strong experience across Linux/Windows/Unix (cluster and workload monitoring).
• Proficiency with scripting (Python/PowerShell/Bash), Datadog/ServiceNow APIs, and Git‑based workflows.
• Demonstrated capability to design SLOs/SLIs, reduce false positives, and measurably improve MTTR and service reliability.
• Excellent communication; able to drive standards across multiple engineering teams.

Additional Qualifications

• Experience across AWS/Azure/GCP, Kubernetes, Terraform
• Prior ownership of enterprise observability programs (>500 nodes/services; multi‑account/multi‑subscription cloud).
• Network (e.g., NPM/NTA) and database monitoring expertise (e.g. Postgres/SQL Server/Oracle/MySQL).
• Experience with message brokers (Tibco), API gateways, and distributed tracing for microservices.
• Basic experience in administering and maintaining relational and/or non‑relational databases.
• Security/Compliance awareness (SOX, HIPAA, PCI), log retention/archival strategies.
• Experience with cost governance in Datadog (metrics vs. logs vs. traces), custom metrics, and sampling strategies.
• ITIL v4 Foundation, Datadog Certifications, and ServiceNow Admin/Developer certifications.

Knowledge & Skills

• Systems thinking, reliability engineering mindset, data‑driven decision making.
• Strong stakeholder collaboration (Infra, AppDev, SecOps, NOC).
• Documentation and enablement: clear runbooks, patterns, standards.
• Bias for automation, consistency, and measurable outcomes.

Job

Software

Schedule

Full time

Shift

No shift premium (India)

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

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