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Observability Engineer

Job in McLean, Fairfax County, Virginia, USA
Listing for: Booz Allen Hamilton
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 62000 - 141000 USD Yearly USD 62000.00 141000.00 YEAR
Job Description & How to Apply Below

Observability Engineer

Every transaction, every user click, and every API call flows through observability before it becomes an insight, an alert, or an automated action. You are the engineer who ensures that this pipeline works.

We are seeking an Observability Engineer with expertise in enterprise monitoring and integration development to join a team delivering full‑stack visibility across 250+ mission‑critical services supporting enterprise operations. Your responsibilities will include deploying monitoring agents, onboarding applications, building dashboards, developing integrations, and reviewing incidents to identify monitoring gaps so that subsequent incidents can be caught earlier. This role offers a clear growth path into AIOps, automation, and agentic AI, with opportunities to build new observability platforms from the ground up as we expand into new environments.

You will also mentor and may supervise team members. U.S. citizenship is required for this position.

Qualifications
  • 3+ years of experience in IT operations, monitoring, observability, and systems engineering

  • Experience deploying and operating Dynatrace for application and infrastructure monitoring, including agent deployment, management zones, dashboards, and alerting

  • Experience configuring Real User Monitoring (RUM) and building operational dashboards tied to SLOs

  • Experience writing automation and integration code in Python, JavaScript, Bash, and Power Shell

  • Experience building integrations using REST APIs, webhooks, data connectors, and Open Telemetry pipelines

  • Experience reviewing incidents after resolution to identify monitoring gaps and recommend instrumentation improvements

  • Experience working in Agile environments with sprint‑based delivery

  • Knowledge of network monitoring fundamentals, including SNMP, SNMP traps, Syslog, or Net Flow

  • Knowledge of application architectures, including microservices, containers, and API gateways

  • Bachelor’s degree in a Computer Science or Information Technology field

Nice to Have
  • Experience with Dynatrace Synthetic monitoring, Session Replay, App Sec, digital experience monitoring, and Dynatrace Intelligence

  • Experience with Service Now Event Management, including event rules, alert management rules, alert correlation, alert lifecycle, CMDB fundamentals, ITOM concepts, ITSM integration for automated incident creation, Glide API, and ITIL practices

  • Experience deploying monitoring agents and observability technologies in government cloud environments such as AWS Gov Cloud, Azure Government, or IL4 / IL5, including restricted network and STIG‑hardened deployments

  • Experience with Prometheus, Grafana, and ELK/EFK

  • Experience with containerization and cloud platforms such as AWS, Azure, or GCP

  • Experience with Splunk, Splunk Enterprise Security (SIEM), Cribl, and Solar Winds

  • Experience with Terraform, Infrastructure‑as‑Code, and Dynatrace Configuration as Code, including Monaco

  • Experience using observability data for capacity planning and infrastructure forecasting

  • Dynatrace Associate or Professional Certification or Service Now Certified Implementation Specialist – Event Management (CIS‑EM) Certification

Compensation

Salary range: $62,000.00 to $ annualized USD, depending on location, education, skills, and experience. Benefits include health, life, disability, financial, and retirement plans, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work. The use of artificial intelligence or other tools to assist with responses during interviews (whether in‑person or virtual) is prohibited unless explicit permission is provided.

Work Model

Our people‑first culture prioritizes collaboration, whether it occurs in person or virtually. Employees working…

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