ServiceNow Discovery Engineer ID80139

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a ServiceNow Discovery Engineer to join an enterprise-scale Discovery Engineering squad that executes discovery across millions of infrastructure targets on daily and weekly schedules. You will design and build AI agents that analyze Discovery logs, classify failures, identify root causes, and generate corrections to Discovery probes and patterns with appropriate testing guardrails, while also developing observability agents that continuously assess MID Server health, throughput, and coverage. The role requires 4+ years of hands-on ServiceNow Discovery experience including MID Servers, Patterns/Probes, and CMDB/CSDM data quality.

WHAT YOU WILL DO

- Design and build AI agents that continuously analyze Discovery logs, execution results, errors, and failed discoveries at scale.

- Develop agents capable of classifying and correlating failures, performing troubleshooting, identifying probable root causes, and recommending corrective actions.

- Build capabilities for agents to analyze and recommend or generate corrections to ServiceNow Discovery probes and patterns, with appropriate testing, guardrails, and human approval before production changes.

- Convert operational knowledge, runbooks, and recurring troubleshooting procedures into reusable agentic workflows, progressively reducing manual investigation and improving Discovery reliability.

- Design and build AI agents that continuously assess the health of the ServiceNow Discovery ecosystem, including MID Servers, discovery schedules/playbooks, target execution, throughput, latency, failures, retries, and discovery coverage.

- Develop agents that regularly collect, aggregate, and interpret metrics and telemetry from ServiceNow Discovery, MID Servers, logs, monitoring platforms, and other relevant data sources.

MUST HAVES

- 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.

- Experience with observability technologies such as Prometheus, OpenTelemetry, and Grafana .

- Upper-intermediate English level.

NICE TO HAVES

- 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. (Note: We need software builders, not Machine Learning researchers).

- 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, 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.

PERKS AND BENEFITS

- Growth without limits : build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget

- Competitive compensation : get recognition that reflects your skills and impact, with regular performance and compensation reviews

- Flexibility : work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm

- Meaningful, modern projects : build impactful products using modern technologies alongside global teams and leading brands

- Collaborative culture : join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized

- Well-being & support : access local well-being programs and people-focused support tailored to your location