Tools Engineer

Job Description

Job Description

Overview:

Observability & Enterprise Monitoring Engineer with specialized expertise in SolarWinds platform administration and broader multi-tool observability ecosystems. Working knowledge of OpenText NNMi will be an added advantage. This role will be responsible for the end-to-end administration, optimization, integration, and operational maintenance of enterprise-scale implementation of monitoring solutions (SolarWinds). Responsible for ensuring platform health, automate alert workflows, manage hybrid/cloud monitoring integrations, and collaborate closely with cross-functional infrastructure teams to maintain high availability and performance.

Roles & Responsibilities:

1. Platform Administration & Lifecycle Management (SolarWinds)

• Core Module Management: Administer and optimize SolarWinds modules including NPM, NCM, NTA, SAM, and the broader Orion / SWOSH (Hybrid Cloud Observability) platform ecosystem.

• Upgrades & Maintenance: Perform routine and major version updates across platform components; monitor platform health using Active Diagnostics and My Deployment health checks.

• Polling Infrastructure: Manage, scale, and load-balance Additional Polling Engines (APEs) to ensure optimal performance across enterprise environments.

• Database & Backup Operations: Perform operational tasks on the underlying MS SQL Database, manage, schedule, and verify configuration and database backup jobs.

1. Network & Device Observability Operations

• Discovery & Asset Management: Execute network discoveries, manage node onboarding/offboarding, assign Universal Device Pollers (UnDP), and maintain custom custom attributes and group hierarchies.

• Configuration Management (NCM): Build and maintain NCM command templates, automate daily startup/running config backups, archive config files, and remediate compliance/transfer failures.

• Topology & Visualization: Create and maintain dynamic, accurate network topology maps using Network Atlas and modern visual canvases based on operational requirements.

1. Alerting, Dashboarding & ITSM Integration

• Signal Optimization: Design, tune, and maintain custom Alert Triggers, Actions, and Thresholds to eliminate alert noise and drive actionable alerting.

• Ticketing & Automation: Configure bi-directional ITSM/ticketing integrations to enable automatic ticket creation, routing, and lifecycle tracking.

• Reporting & Visibility: Build custom operational and executive Dashboards, Views, and Reports tailored to stakeholder requirements.

• Incident Support: Monitor alert channels for operational anomalies, troubleshoot lingering telemetry issues, and collaborate with domain teams to drive root cause resolution.

1. AIOps Operations

• Leverage AIOps, machine learning, and pattern-recognition capabilities to identify baseline anomalies, reduce event noise, and drive predictive incident management.

• Collaborate with cross-functional teams to integrate AI-driven event correlation models and automated remediation workflows into the central monitoring platform.

1. Integration, Vendor Coordination

• Manage relationships and support escalations with platform vendors.

• Work on REST API integrations across applications/tools as per requirements.

1. Operational Troubleshooting & Diagnostics

• Perform deep-dive troubleshooting and root-cause analysis for platform-level performance degradations, engine polling failures, and monitoring agent corruptions.

• Utilize Active Diagnostics and system telemetry to investigate and resolve complex network configuration transfer failures, polling sync latency, and data ingestion issues.

Required Skills:

• Multi-tool expertise (SolarWinds, OpenText NNMi, Splunk, etc.)

• Protocol & Telemetry Knowledge: In-depth understanding of SNMP (v2c/v3), WMI, WinRM, Syslog, NetFlow/sFlow, and Observability (Metrics, Logs, Traces).

• Automation & API Integration: Good to have skills in PowerShell/Python, and API-driven automation for monitoring workflows.

• AIOps & Intelligent Automation: Basic understanding of AIOps concepts, machine learning algorithms for anomaly detection, automated event correlation, and predictive analytics within modern observability frameworks.

• Cloud & Hybrid Observability: Hands-on experience extending platform monitoring into AWS, Azure, or GCP environments.

• Infrastructure Knowledge

• System Administration: Intermediate knowledge of Windows and Linux administration.

• Database: Understanding of SQL/Database concepts and standard query execution.

• Networking: Good understanding of networking concepts including TCP/IP, DNS, DHCP, Routing and Switching.

• ITSM: Experience in ITSM processes and operational support.