SL1 Platform & Automation Specialist

This is a fully remote position, open to applicants in Costa Rica.

📋 Description

• Oversee the daily 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 efforts.

• 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.

• Utilize SL1 APIs, GraphQL/GQL, scripting, and supported development frameworks to enhance functionality.

• Generate operational, executive, customer, SLA, availability, capacity, risk, and service-health reports.

• Create dashboards that display 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 similar 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 applications 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 via secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations.

• Prototype and assess AI-assisted workflows while ensuring human oversight, data protection, access control, auditability, and operational safety.

• Serve 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 utilizing or supporting SL1 services.

• Advocate for secure engineering, least privilege, resilient design, and compliance with company governance requirements.

⛳️ Requirements

• Expert-level proficiency in ScienceLogic SL1 platform administration and architecture.

• Expert-level experience in SL1 reporting, dashboards, widgets, service visibility, and operational analytics.

• Expert-level capability in PowerPack development and lifecycle management.

• Expert-level knowledge of Dynamic Applications and custom data collection.

• Expert-level understanding of event policies, automation policies, Run Book Actions, and Run Book Automation.

• Expert-level troubleshooting skills in SL1, upgrades, collectors, performance, and data quality.

• Expert-level experience with SL1 API integration and programmatic platform extension.

• Advanced skills in Python and/or PowerShell development.

• Advanced knowledge of REST APIs, JSON, webhooks, authentication, and integration design.

• Familiarity with GraphQL/GQL and data-query patterns relevant to SL1 integrations.

• Knowledge of monitoring, observability, event management, alert correlation, and service health.

• Experience in operational reporting and data visualization.

• Familiarity with ITSM/ticketing platform integrations and workflow automation.

• Secure management of credentials, certificates, secrets, and service accounts.

• Proficiency in 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 similar enterprise AI platforms.

• Familiarity with Logic Apps, Power Automate, Azure Automation, or similar orchestration tools.

• Understanding of Domo, Power BI, data warehouses, or analytics platforms.

• Familiarity with cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts.

• Knowledge of ITIL-aligned incident, problem, and change management practices.

• Understanding 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 track record of delivering custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations.

• Experience in building and supporting integrations between SL1 and third-party systems.

• Ability to diagnose complex issues related to monitoring, collection, event, performance, reporting, and data quality.

• 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 relevant to platform administration, engineering, or development is highly prioritized.

• ScienceLogic Certified Expert or equivalent advanced ScienceLogic accreditation is preferred.

• Additional certifications in ITIL, Microsoft Azure, Power Platform, AI, data, automation, Python, API, observability, cloud, or service management are preferred.

🏝️ Benefits

• Full-time employment.

• 8-hour schedule from Monday to Friday.

• Participation in an on-call rotation.

• Availability for after-hours maintenance, upgrades, and incident response.

• Remote work opportunities.

• Professional mentoring and knowledge-transfer opportunities.