Observability Platform Engineer (Datadog)
Key Skills for This Role
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What You'll Do
Serve as the primary Datadog platform owner — architecting, building, and maintaining scalable observability solutions across cloud and on-prem environments (Windows and Linux/Unix), with direct ownership of monitoring capabilities for key applications and services.
Partner closely with application, DevOps, SRE/operations, infrastructure, and security teams to translate reliability goals into actionable Datadog monitoring strategies, dashboards, SLOs, and alerting frameworks.
Lead and execute the migration from OpenView to Datadog, ensuring continuity of coverage and an improvement in monitoring fidelity across all migrated services and infrastructure.
Develop and automate processes using Datadog's APIs, Terraform provider, and scripting (Python, PowerShell, Bash) to manage monitors, dashboards, alerts, and telemetry configuration at scale — ensuring consistency across Windows Server and Unix (Linux/Solaris) environments.
Implement and optimize Datadog APM, distributed tracing, log management, infrastructure monitoring, and Network Performance Monitoring (NPM) to provide full-stack visibility.
Build and evolve Datadog RUM and Synthetic Monitoring capabilities to track end-user experience and proactively validate availability of external-facing services and critical workflows.
Define and operationalize SLOs and error budgets within Datadog; drive alert noise reduction through correlation, enrichment, threshold tuning, and monitor dependency mapping.
Integrate Datadog with ServiceNow for incident/problem ticket routing and escalation; produce runbooks, post-incident reviews, and executive/operational dashboards to support reliability reporting.
Champion OpenTelemetry (OTel) adoption and drive consistent logging, metrics, and tracing standards across the engineering organization using Datadog as the central observability platform.
Onboard new applications and services into Datadog; provide guidance and enablement to engineering teams on instrumentation, agent deployment, and observability best practices.
Collaborate on platform cost optimization, data governance, and scaling strategies to ensure Datadog remains performant and cost-effective as the environment grows.
Required Skills and Experience
- BS/BA in Computer Science, Information Systems, Engineering, or equivalent experience.
- 5+ years in Observability, APM, SRE, or Platform Engineering — with at least 2–3 years of hands-on, production-grade Datadog experience.
- Deep expertise across Datadog's core product suite: APM, Infrastructure Monitoring, Log Management, Synthetics, RUM, SLOs, Dashboards, Monitors, and Alerting.
- Proficiency in both Windows Server and Unix (Linux/Solaris) environments, including agent deployment, service instrumentation, and OS-level performance analysis.
- Strong scripting and automation skills (Python, PowerShell, Bash) with hands-on experience using the Datadog API/SDK and Terraform to manage observability configurations as code.
- Solid understanding of distributed tracing, metrics pipelines, logging standards, and SLO/error budget frameworks within Datadog.
- Experience integrating Datadog with cloud platforms (Azure and AWS) and centralizing cross-environment telemetry.
- Demonstrated ability to reduce alert noise and MTTR through Datadog monitor tuning, correlation, and enrichment strategies.
- Experience with ITSM integrations (e.g., Datadog ServiceNow) and producing clear service maps, dependency views, and stakeholder-facing dashboards.
- Excellent communication and stakeholder management skills, with the ability to translate technical observability concepts for non-technical audiences.
- Strong documentation habits, attention to detail, and the ability to work both independently and collaboratively in a fast-paced environment.
Nice to Have
- Datadog certifications (e.g., Datadog Fundamentals, APM, or Log Management).
- Experience migrating from legacy monitoring platforms (e.g., OpenView, AppDynamics, Nagios) to Datadog.
- Familiarity with .NET development (C#), including Datadog instrumentation patterns for .NET applications.
- Experience in financial services or other regulated industries.
- Familiarity with ITSM integrations and CMDB alignment for incident, problem, and change management workflows.
- Experience with CI/CD pipeline integration, synthetic testing strategies, and Datadog-based performance/capacity analysis for latency-sensitive systems.
- Knowledge of network monitoring concepts and Datadog NPM/NDM capabilities.
Hybrid Notice
This is a hybrid position. Currently, the hybrid work schedule for this position is 2–3 days in the office. Please understand that the hybrid schedule may be modified or eliminated at any time at Neuberger's discretion.
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Engineer II
Compensation Details
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
- Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact [email protected] .
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About Neuberger Berman
Employee-owned private investment manager serving institutions, advisors, and individuals across public and private markets.
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