SL1 Platform & Automation Specialist

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🔥 0 minutes ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Talentuch

11 - 50 employees

Founded 2017

👥 HR Tech

🎯 Recruiter

🏢 Enterprise

HR Tech • Recruitment • Enterprise

Talentuch is an experienced global IT recruitment company specializing in SAP and Microsoft Dynamics recruitment. With over seven years of expertise, Talentuch offers subscription-based and project-based models to meet a wide range of IT recruitment needs. The company prides itself on a team of 15 technical recruitment professionals who manage a capacity of over 300 technical interviews per month and secure more than 20 accepted offers monthly for clients. Talentuch provides an affordable recruitment service by eliminating high per-hire fees, focusing on delivering high-quality service and reliable tech talent acquisition globally.

📋 Description

• 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

• 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

• 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

Apply Now

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