AgileEngine
ServiceNow Discovery Engineer ID80139
São Paulo, BRSur siteCDITemps plein
Publié 27 août 2026
Cet emploi est publié en PT
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 hands-on ServiceNow Discovery experience including MID Servers, Patterns/Probes, and CMDB/CSDM data quality.
WHAT YOU WILL DO
- Continuously assess the health of the ServiceNow Discovery ecosystem, including MID Servers, discovery schedules/playbooks, target execution, throughput, latency, failures, retries, and discovery coverage.
- Convert operational knowledge, runbooks, and recurring troubleshooting procedures into structured, documented workflows, progressively enabling the engineering team to reduce manual investigation.
- Regularly collect, aggregate, and interpret metrics and telemetry from ServiceNow Discovery, logs, and monitoring platforms to turn them into actionable engineering improvements.
- Investigate complex infrastructure attributes and relationships to ensure data quality and successful discovery execution.
MUST HAVES
- Hands-on experience with ServiceNow Discovery, 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.
- 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 observability technologies such as Prometheus, OpenTelemetry, alongside Grafana.
- Upper-intermediate English level.
NICE TO HAVES
- Basic scripting experience (e.g., Python, JavaScript) to assist in automation tasks.
- Familiarity working in Agile squads alongside software developers.
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
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 hands-on ServiceNow Discovery experience including MID Servers, Patterns/Probes, and CMDB/CSDM data quality.
WHAT YOU WILL DO
- Continuously assess the health of the ServiceNow Discovery ecosystem, including MID Servers, discovery schedules/playbooks, target execution, throughput, latency, failures, retries, and discovery coverage.
- Convert operational knowledge, runbooks, and recurring troubleshooting procedures into structured, documented workflows, progressively enabling the engineering team to reduce manual investigation.
- Regularly collect, aggregate, and interpret metrics and telemetry from ServiceNow Discovery, logs, and monitoring platforms to turn them into actionable engineering improvements.
- Investigate complex infrastructure attributes and relationships to ensure data quality and successful discovery execution.
MUST HAVES
- Hands-on experience with ServiceNow Discovery, 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.
- 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 observability technologies such as Prometheus, OpenTelemetry, alongside Grafana.
- Upper-intermediate English level.
NICE TO HAVES
- Basic scripting experience (e.g., Python, JavaScript) to assist in automation tasks.
- Familiarity working in Agile squads alongside software developers.
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
Aperçu du poste
Type de poste
Temps plein
Compétences requises
ServiceNow Discovery (MID Servers, Discovery Status, schedules, credentials, ECC Queue)ServiceNow Discovery Patterns and Probes development/modificationServiceNow CMDB and CSDM (CI identification/reconciliation, relationships, data quality)MID Server administration and health/throughput/coverage monitoringLog and telemetry analysis (collecting, aggregating, interpreting Discovery logs and metrics)Observability technologies (Prometheus, OpenTelemetry, Grafana)Infrastructure engineering (Linux, Windows Server, virtualization/cloud, authentication, processes/services)Network protocols and troubleshooting (TCP/IP, DNS, routing, firewalls, ports, SSH, WMI/WinRM, SNMP, HTTP/S)Root cause analysis and troubleshooting of complex discovery failuresDesigning and building AI agents for log analysis, failure classification, and automated corrections with testing guardrailsScripting for automation (basic Python, JavaScript)Converting runbooks and operational knowledge into structured documented workflowsWorking in Agile squads and collaborating with software developersEnglish communication (upper-intermediate)
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