SL1 Platform & Automation Specialist

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

📋 Description

• Oversee the daily administration, health, availability, performance, capacity, and lifecycle management of the ScienceLogic SL1 platform stack.

• Manage components of the SL1 platform including collectors, credentials, device classes, discovery, organizations, access controls, and overall platform configuration.

• Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and readiness for rollbacks.

• Troubleshoot complex issues related to the platform, collection, events, performance, and data quality, coordinating remediation efforts with internal teams and ScienceLogic support.

• Maintain standards for the platform, including configuration control, technical debt registers, support procedures, and operational runbooks.

• Design, build, test, document, and maintain custom PowerPacks and related SL1 content.

• Develop and sustain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies.

• Tailor monitoring solutions for network, cloud, infrastructure, application, telecom, and customer-facing services.

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

• Generate operational, executive, customer, SLA, availability, capacity, risk, and service health reports using SL1 data.

• Create role-specific dashboards that display service health, infrastructure dependencies, events, trends, and business impacts.

• Integrate SL1 data with Domo, Power BI, data services, and other approved enterprise tools.

• Design, build, and maintain 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 workflows for event enrichment, ticket creation and synchronization, notifications, escalations, remediation, evidence collection, and reporting.

• Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes.

• Identify and implement practical AI applications for event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity.

• Expose authorized SL1 data and capabilities to AI-enabled platforms through 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 subject-matter expert for ScienceLogic SL1 and a technical escalation point.

• Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers.

• Maintain documentation related to architecture, configuration, data flow, integration, support, and recovery.

• Assist in 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 practices, least privilege, resilient design, and compliance with company governance standards.

⛳️ Requirements

• Demonstrated hands-on experience in administering and customizing ScienceLogic SL1 within a production enterprise or service-provider environment.

• Proven success in 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, events, performance, reporting, and data quality.

• Strong written and verbal communication skills with the ability to convert operational needs into technical solutions.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.

• Expert-level administration and architecture of the ScienceLogic SL1 platform.

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

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

• Expert-level skills in Dynamic Applications and custom data collection.

• Expert-level knowledge in event policies, automation policies, Run Book Actions, and Run Book Automation.

• Expert-level troubleshooting, upgrades, collectors, performance, and data quality for the SL1 platform.

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

• Advanced skills in Python and/or PowerShell development.

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

• Advanced knowledge of GraphQL/GQL and data-query patterns relevant to SL1 integrations.

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

• Advanced skills in operational reporting and data visualization.

• Advanced experience with ITSM/ticketing platform integrations and workflow automation.

• Advanced management of secure credentials, certificates, secrets, and service accounts.

• Advanced technical documentation, testing, release management, and change control skills.

• 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.

• 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 principles.

• 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 prioritized highest.

• 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 shifts from Monday to 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 options available.