ServiceNow Discovery Engineer ID80139
On-sitePlovdiv, Plovdiv, Bulgaria
Job Summary
Design and build AI agents that continuously analyze ServiceNow Discovery logs, classify failures, and generate corrections to probes and patterns with testing guardrails. Develop capabilities to assess MID Server health, throughput, and coverage while converting operational knowledge into reusable agentic workflows. Build agents that collect, aggregate, and interpret metrics and telemetry from logs, monitoring platforms, and other data sources to identify root causes. This role requires 4+ years of hands-on ServiceNow Discovery experience including MID Servers, Patterns/Probes, and CMDB/CSDM data quality, with proficiency in observability tools like Prometheus and Grafana. Join an enterprise-scale squad executing discovery across millions of infrastructure targets on daily and weekly schedules.
Required Qualifications
- Hands-on experience with ServiceNow Discovery of at least 4 years, including MID Servers, Discovery Patterns/Probes, credentials, schedules, Discovery Status, ECC Queue, and troubleshooting Discovery failures.
- Experience developing or modifying ServiceNow Discovery Patterns and Probes and understanding how infrastructure attributes and relationships are discovered.
- Experience with ServiceNow CMDB/CSDM, Configuration Items (CIs), identification/reconciliation, relationships, and CMDB data quality.
- Upper-intermediate English level.
Desired Qualifications
- Advanced Python development experience and REST API design capabilities with experience building APIs, data-processing pipelines, integrations, automation, and production-grade engineering solutions.
- Strong experience with modern software development and SDLC practices and toolchains, including Git/GitHub, Jenkins or equivalent CI/CD platforms, artifact repositories, automated testing, code quality/security scanning, release management, and deployment automation.
- Practical experience integrating Gen AI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and Vector databases.
- Practical knowledge of Infrastructure Engineering with Linux, Windows Server, compute, virtualization/cloud infrastructure, authentication, processes/services, and infrastructure troubleshooting.
- Working knowledge of TCP/IP, DNS, routing, firewalls, ports, SSH, WMI/WinRM, SNMP, HTTP/S, and common network and infrastructure troubleshooting techniques.
- Experience with high-volume logs, metrics, errors, and operational datasets to identify patterns, anomalies, trends, and root causes and turn them into actionable engineering improvements.
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