FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert-level administration and architecture of the ScienceLogic SL1 platform, including advanced capabilities in PowerPack development, API integration, and operational reporting. Proficient in automating workflows and managing integrations while ensuring compliance with security and governance standards.
Highest-signal resume keywords
Expert-Level ScienceLogic SL1 AdministrationAdvanced Python DevelopmentExpert-Level PowerPack DevelopmentExpert-Level SL1 API IntegrationOperational Reporting and Data Visualization
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 DevelopmentAPI IntegrationPython DevelopmentREST APIsGraphQL/GQLOperational ReportingEvent ManagementMonitoring and Observability
Soft Skills
Strong Written CommunicationStrong Verbal CommunicationMentoring and Knowledge Transfer
Tools & Technologies
DomoPower BILogic AppsPower AutomateAzure AI ServicesITSM Platforms
Certifications & Qualifications
ScienceLogic SL1 CertificationScienceLogic Certified ExpertITIL CertificationMicrosoft Azure CertificationPower Platform Certification
Industry Keywords
Cloud MonitoringNetwork MonitoringITILSecurity GovernanceAI-Assisted IT Operations
Tech Stack
Tools & technologiesAzureCloudGraphQLITSMLinuxPython
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 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
- Maintain platform standards, configuration control, technical-debt registers, support procedures, and operational runbooks
- Design, build, test, document, and maintain custom PowerPacks and 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, scripting, and supported development frameworks to extend functionality
- Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reports
- Design dashboards showing service health, infrastructure dependencies, events, trends, and business impact
- Integrate SL1 data with Domo, Power BI, data services, and other 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 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- 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 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
- GraphQL/GQL and data-query patterns relevant to SL1 integrations
- Monitoring, observability, event management, alert correlation, and service health
- Operational reporting and data visualization
- ITSM/ticketing platform integrations and workflow automation
- Secure credential, certificate, secret, and service-account management
- 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
- 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 skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
- Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development is highly prioritized
- ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation is preferred
- 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 Monday–Friday schedule
- Participation in an on-call rotation
- Availability for after-hours maintenance, upgrades, and incident response
- Remote work
- Professional mentoring and knowledge-transfer opportunities