Network Observability Engineer

The Leidos Chief Data & Analytics Office (CDAO) is seeking a Network Observability Engineer; this position will allow for full time telework from any U.S. based location.

POSITION SUMMARY:

Leidos CIO Services is seeking a talented and innovative Network Observability Engineer to join our growing team within the CDAO division, which is responsible for enterprise observability and for enabling the enterprise with AI solutions. The successful candidate will engineer, operate, and continuously improve the systems that monitor the health, performance, and availability of the Leidos enterprise network, leveraging technologies such as Splunk, OpenSearch, OpenConfig, OpenTelemetry, and Machine Learning, as well as SNMP-based monitoring and NetFlow analysis. In this role, you will turn network telemetry into actionable operational intelligence, building the data pipelines, dashboards, alerts, and automation, using modern AI-assisted development tools, that help operations teams detect, troubleshoot, and resolve issues faster. You will actively participate in all phases of the systems engineering lifecycle, including requirements analysis, solution design, development, integration, testing, documentation, and implementation. Your work will align with best practices, operational excellence, and forward-thinking approaches to network observability.

PRIMARY RESPONSIBILITIES:

• Collaborate with network operations, engineering teams, and stakeholders to gather requirements and deliver effective network observability solutions.
• Onboard, normalize, and analyze network telemetry (syslog, SNMP, NetFlow, and streaming telemetry) in Splunk and OpenSearch, building searches, dashboards, alerts, and reports that provide situational awareness of network health and performance.
• Deploy and maintain modern network telemetry solutions leveraging OpenConfig and OpenTelemetry standards.
• Design and develop software, scripts, and automation (e.g., Python, PowerShell, Bash) and integrate with REST APIs to collect data, enrich events, and connect monitoring platforms with other enterprise tools.
• Use AI coding assistants such as Claude Code or OpenAI Codex to accelerate development of integrations, automation, and monitoring content, applying sound code review, testing, and version control practices to AI-generated code.
• Integrate monitoring alerts and events with ServiceNow or similar ITSM platforms to support automated incident creation, routing, and closed-loop resolution.
• Apply Machine Learning and AI techniques for predictive analytics, anomaly detection, and event correlation to enhance network performance and reliability.
• Utilize SNMP, NetFlow, and other monitoring techniques to maintain and optimize network performance.
• Document procedures and maintain detailed audit-level records of systems and processes.
• Provide tiered troubleshooting, resolution, and root-cause analysis for complex network monitoring and performance issues.
• Engage with senior management and stakeholders as necessary to communicate technical insights and strategic recommendations.

BASIC QUALIFICATIONS:

• Bachelor's degree in Information Technology or related field with 4+ years of relevant industry experience; additional years of experience may be substituted in lieu of a degree. 
• Strong understanding of network design, protocols, and performance management, with the ability to interpret device and traffic telemetry.
• Hands-on experience with Splunk and/or OpenSearch, including data onboarding, search languages (SPL, KQL/Lucene), dashboards, and alerting.
• Hands-on experience with SNMP, NetFlow, OpenConfig, and OpenTelemetry.
• Proficiency in programming and scripting (Python preferred), with a track record of building automation and developing and integrating RESTful APIs.
• Hands-on experience using AI-assisted development tools such as Claude Code, OpenAI Codex, or similar to write, test, and maintain code.
• Demonstrated experience integrating Machine Learning techniques within network monitoring and analysis frameworks.
• Strong understanding of Aruba/Silver Peak SD-WAN and related networking technologies.
• Proficiency in SQL and database interfaces, including ODBC.
• Familiarity with ServiceNow or a similar ITSM platform, and with ITIL Incident, Change, and Configuration Management practices.
• U.S. Citizenship required.

PREFERRED QUALIFICATIONS:

• Experience with modern network monitoring platforms such as SolarWinds NPM.
• Experience with Splunk ITSI, OpenSearch Observability, or similar AIOps and service monitoring tools.
• Experience with Git-based version control and CI/CD practices for automation and monitoring code.
• Experience with telemetry pipeline tools such as Cribl Stream or the OpenTelemetry Collector.
• Experience building ServiceNow integrations (e.g., Event Management, IntegrationHub, REST APIs, or MID Server).
• Exposure to SD-WAN management technologies and protocols.
• Familiarity with IP SLA or similar synthetic monitoring tools.
• Tessaral mesh routing.
• Current or past certifications such as Splunk Core Certified Power User or Admin, Aruba Certified SD-WAN Professional (ACSP), Aruba Certified SD-WAN Expert (ACSE), SolarWinds Certified Professional (SCP), Cisco Certified Network Associate (CCNA), Cisco Certified Network Professional (CCNP), or equivalent.

*** Candidates selected for an interview should note that it will be conducted live via video, with cameras on at all times. As part of our identity verification process, a photo will be taken during the interview to confirm your identity and help protect against fraud. At hire, candidates complete formal identity verification. ***

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.