SL1 Platform & Automation Specialist

• 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

• 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

• 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