Observability Platform Engineer (Datadog)

Neuberger Berman; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Discretionary bonus

Medical/dental/vision insurance

Retirement plan

Life insurance

Hybrid schedule

Job summary

Neuberger Berman is seeking an Observability Engineer to lead our Datadog strategy across cloud and on‑prem environments. You will own monitoring, implement SLOs, and drive reliability through dashboards, alerts, and runbooks.

You will partner with engineering, DevOps, and security teams, migrate from legacy tools, and automate observability using Datadog APIs, Terraform, and scripting. A strong focus on reducing alert noise and delivering end‑to‑end visibility is required.

Qualifications

• BS/BA in Computer Science, Information Systems, Engineering, or equivalent experience.
• 5+ years in Observability, APM, SRE, or Platform Engineering with hands‑on Datadog experience.
• Proficiency with Windows Server and Unix/Linux, including agent deployment and instrumentation.

Responsibilities

• Own and evolve the Datadog platform across cloud and on‑prem environments.
• Develop dashboards, SLOs, and alerting frameworks with cross‑functional teams.
• Migrate from OpenView to Datadog while maintaining coverage and fidelity.
• Automate configuration via Datadog APIs, Terraform, and scripting (Python/PowerShell/Bash).

Skills

Datadog

SRE

APM

Terraform

PowerShell

Education

BS/BA in Computer Science/Engineering

Tools

Datadog API/SDK

Terraform

OpenTelemetry

Job description

Neuberger's 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).

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.

Compensation Details

The salary range for this role is $110,000-$150,000. 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 employee’s 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 Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Equal Opportunity Employer

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.

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Founded in 1939, Neuberger is a private, independent, employee‑owned investment manager. From offices in 40 cities worldwide, the firm manages $567billion in client assets (as of March2026) across a range of strategies—including equity, fixed income, quantitative and multi‑asset class, private equity and hedge funds—on behalf of institutions, advisors and individual investors globally. Tenured, stable and long‑term in focus, the firm has built a diverse team—including 790‑plus investment professionals and more than 2900 employees in total—united in their commitment to delivering client outcomes and investment excellence. It is our people who define our culture and have enabled us to be recognized by Pensions&Investments as the first or second “Best Place to Work in Money Management” for last eight consecutive years (firms with 1000+ employees). Neuberger believes strongly that all employees are entitled to be treated with respect and dignity, and to work in a professional and safe environment. These values are the cornerstone of our firm. We prohibit any form of harassment, whether mental, verbal or physical. We do not tolerate the support of terrorist groups, acts of terrorism, or threats of violence. All who wish to be employed by the firm are expected to uphold these principles. For important disclosures: http://www.nb.com/linkedin