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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert-level administration and customization of ScienceLogic SL1, including reporting, dashboards, and integrations. Proficient in troubleshooting complex platform issues and implementing automation and AI-assisted workflows to enhance operational efficiency.
Highest-signal resume keywords
Expert-Level ScienceLogic SL1 AdministrationAdvanced Python DevelopmentExpert-Level SL1 Reporting and DashboardsAdvanced REST APIs and Integration DesignWorking Knowledge of AI-Assisted IT Operations
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ScienceLogic SL1 AdministrationPowerPack DevelopmentDynamic Applications DevelopmentEvent Policies and AutomationSL1 API IntegrationOperational ReportingData VisualizationMonitoring and ObservabilityChange ManagementTechnical Documentation
Soft Skills
Strong Written and Verbal CommunicationMentoring and Knowledge Transfer
Tools & Technologies
DomoPower BILogic AppsPower AutomateAzure AI ServicesITSM PlatformsCollaboration ToolsCloud Monitoring ToolsNetwork Monitoring ToolsData Warehouses
Certifications & Qualifications
ScienceLogic SL1 CertificationScienceLogic Certified ExpertITIL CertificationMicrosoft Azure CertificationPower Platform Certification
Industry Keywords
MSPTelecommunicationsNetwork ServicesMulti-Customer EnvironmentsAI-Assisted Operations
Tech Stack
Tools & technologiesAzureCloudGraphQLITSMLinuxPythonServiceNow
About the role
Key responsibilities & impact- Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack
- Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration
- Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness
- Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support
- Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks
- Design, build, test, document, and maintain custom PowerPacks and associated SL1 content
- Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies
- Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services
- Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality
- Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data
- Design role-appropriate dashboards showing service health, infrastructure dependencies, events, trends, and business impact
- Integrate SL1 data with Domo, Power BI, data services, and other approved enterprise tools
- Design, build, and support secure integrations between SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms
- Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies
- Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows
- Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes
- Identify and implement practical AI uses for event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity
- Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations
- Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety
- Act as the ScienceLogic SL1 subject-matter expert and technical escalation point
- Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers
- Maintain architecture, configuration, data-flow, integration, support, and recovery documentation
- Support incident, problem, change, vulnerability, and risk-management processes
- Provide knowledge transfer, mentoring, and practical guidance to teams consuming or supporting SL1 services
- Promote secure engineering, least privilege, resilient design, and compliance with company governance requirements
Requirements
What you’ll need- Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment
- Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations
- Experience building and supporting integrations between SL1 and third-party systems
- Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues
- Strong written and verbal communication with the ability to translate operational needs into technical solutions
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
- Expert-level ScienceLogic SL1 platform administration and architecture
- Expert-level SL1 reporting, dashboards, widgets, service visibility, and operational analytics
- Expert-level PowerPack development and lifecycle management
- Expert-level Dynamic Applications and custom data collection
- Expert-level event policies, automation policies, Run Book Actions, and Run Book Automation
- Expert-level SL1 platform troubleshooting, upgrades, collectors, performance, and data quality
- Expert-level SL1 API integration and programmatic platform extension
- Advanced Python and/or PowerShell development
- Advanced REST APIs, JSON, webhooks, authentication, and integration design
- Advanced GraphQL/GQL and data-query patterns relevant to SL1 integrations
- Advanced monitoring, observability, event management, alert correlation, and service health
- Advanced operational reporting and data visualization
- Advanced ITSM/ticketing platform integrations and workflow automation
- Advanced secure credential, certificate, secret, and service-account management
- Advanced technical documentation, testing, release management, and change control
- Working knowledge of AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows
- Working knowledge of Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms
- Working knowledge of Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools
- Working knowledge of Domo, Power BI, data warehouses, or analytics platforms
- Working knowledge of cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts
- Working knowledge of ITIL-aligned incident, problem, and change management
- Working knowledge of security, privacy, auditability, and responsible AI governance principles
- Preferred experience in MSP, telecommunications, network-services, or multi-customer environments
- Preferred experience with Autotask PSA, ServiceNow, Domo, Power BI, data lakes, AI-assisted operations, and globally distributed technical teams
- Current or recent ScienceLogic SL1 certification is preferred, with ScienceLogic Certified Expert or comparable advanced accreditation given highest priority
- Additional ITIL, Microsoft Azure, Power Platform, AI, data, automation, Python, API, observability, cloud, or service-management certifications are preferred
Benefits
Comp & perks- Full-time employment
- 8-hour shift, Monday through Friday
- Participation in an on-call rotation
- Availability for after-hours maintenance, upgrades, and incident response activities
- Occasional weekend work to support maintenance windows or critical incidents
- Remote work