ServiceNow Discovery Engineer ID80139

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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, 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.

The benefits of joining us

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!