Observability Platform Engineer

Neuberger Berman

Job Location:

New York City, NY - USA

Monthly Salary: $ 120000 - 150000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Neubergers Technology team is seeking an Observability Engineer to lead and evolve our observability strategy across cloud and on-premises environments. You will serve as the primary owner and subject matter expert for our Datadog platform building scaling and operating a comprehensive monitoring solution that continuously validates service health (24/7) across business-critical systems including external websites and key infrastructure components (e.g. firewalls OpenShift). You will design and implement end-to-end observability solutions spanning logs metrics traces Service Level Objectives (SLOs) synthetic monitoring and Real User Monitoring (RUM) to improve reliability accelerate incident response and deliver clear visibility into service performance.

This is an individual contributor role with strong Datadog engineering and scripting expectations not a pure administrator role though prior admin experience is beneficial. You will partner closely with application SRE/DevOps infrastructure and security teams and serve as the internal champion and evangelist for Datadog adoption standards and best practices. The environment includes an active migration from OpenView to Datadog with workflows integrating into ServiceNow for incident routing and escalation.

What Youll 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 Datadogs 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 23 years of hands-on production-grade Datadog experience.
Deep expertise across Datadogs 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 development (C#) including Datadog instrumentation patterns 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 23 days in the office. Please understand that the hybrid schedule may be modified or eliminated at any time at Neubergers discretion.

#LI-DD2

#LI-Hybrid

Engineer II

Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.

Compensation Details

The salary range for this role is $120000-$150000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employees pay position within the salary range will be based on several factors including but limited to relevant education qualifications certifications experience skills seniority geographic location business sector performance shift travel requirements sales or revenue-based metrics market benchmarking data any collective bargaining agreements and business or organizational needs. This job is also eligible for a discretionary bonus which along with base salary and retirement contributions is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off medical/dental/vision insurance retirement life insurance and other benefits to eligible employees.

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 Companys sole discretion unless and until paid and may be modified at the Companys 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 .

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Required Experience:

What Youll 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 Datadogs 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 23 years of hands-on production-grade Datadog experience.
Deep expertise across Datadogs 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 development (C#) including Datadog instrumentation patterns 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.