Network Observability Engineer
About The Position
Leidos CIO Services is seeking a Network Observability Engineer to join its growing team within the Chief Data & Analytics Office (CDAO), which is responsible for enterprise observability and enabling the enterprise with AI solutions. The role can be performed on a full-time telework basis from any U.S.-based location. The engineer will build, operate, and continuously improve systems that monitor the health, performance, and availability of the Leidos enterprise network. The work uses technologies including Splunk, OpenSearch, OpenConfig, OpenTelemetry, machine learning, SNMP-based monitoring, and NetFlow analysis. The engineer will turn network telemetry into operational intelligence through data pipelines, dashboards, alerts, and automation that help operations teams detect, troubleshoot, and resolve issues faster. The position participates in all phases of the systems engineering lifecycle, from requirements analysis and solution design through development, integration, testing, documentation, and implementation, while following operational best practices.
Requirements
- Bachelor's degree in Information Technology or a related field and at least 4 years of relevant industry experience; additional years of experience may substitute for a degree.
- Strong understanding of network design, protocols, and performance management, including interpreting device and traffic telemetry.
- Hands-on experience with Splunk and/or OpenSearch, including data onboarding, search languages such as SPL and KQL/Lucene, dashboards, and alerting.
- Hands-on experience with SNMP, NetFlow, OpenConfig, and OpenTelemetry.
- Programming and scripting proficiency, preferably in Python, and 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 into 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 ITIL Incident, Change, and Configuration Management practices.
- U.S. citizenship is required.
Nice To Haves
- 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, such as 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.
- Experience with 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.
Responsibilities
- Collaborate with network operations, engineering teams, and stakeholders to gather requirements and deliver network observability solutions.
- Onboard, normalize, and analyze syslog, SNMP, NetFlow, and streaming telemetry in Splunk and OpenSearch; build searches, dashboards, alerts, and reports that provide awareness of network health and performance.
- Deploy and maintain network telemetry solutions using OpenConfig and OpenTelemetry standards.
- Develop software, scripts, and automation using tools such as Python, PowerShell, and Bash, and integrate REST APIs to collect data, enrich events, and connect monitoring platforms with enterprise tools.
- Use AI coding assistants to accelerate integrations, automation, and monitoring content development, applying 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 improve network performance and reliability.
- Use 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, issue resolution, and root-cause analysis for complex network monitoring and performance issues.
- Communicate technical insights and strategic recommendations to senior management and stakeholders as needed.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
