
Wolters Kluwer announced job vacancy for the post of Associate Support Engineer. The place of posting will be at Chennai (Hybrid). Candidates who have completed Bachelor’s degree (B.E/ B Tech. Computer Science) from a four-year college or university, or equivalent, Masters a plus with Up to 2 years in observability, monitoring, application support, infrastructure operations, or a related production-support role are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Wolters Kluwer |
| Required Qualifications | Engineering / Post Graduate |
| Skills | Practical troubleshooting skills |
| Category | Support |
| Work Type | Hybrid |
They are looking for an Associate IT Support Engineer to join their 24×7 monitoring and production-support team. The role involves monitoring applications, infrastructure, cloud resources, and containerized services; investigating alerts using metrics, logs, and traces; and supporting incident response to maintain service availability and performance.
The ideal candidate will demonstrate practical troubleshooting skills, apply knowledge gained through product and application knowledge-transfer (KT) sessions, and communicate technical findings clearly. The role also requires familiarity with AI-assisted troubleshooting and a willingness to use approved AI tools to improve investigation, documentation, and operational efficiency.
Job Details
Θ Positions: Associate Support Engineer
Θ Job Location: Chennai (Hybrid)
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: R0056653
Roles and Responsibilities:
- Continuously monitor applications, infrastructure, cloud resources, and services using available observability tools and existing dashboards.
- Review alerts, events, logs, metrics, and traces using OpenSearch, Grafana, and applicable APM and infrastructure-monitoring platforms.
- Identify application errors, service unavailability, performance degradation, infrastructure failures, and unusual system behaviour.
- Perform initial investigation and troubleshooting using monitoring data, logs, dashboards, and standard operating procedures.
- Monitor Kubernetes clusters, nodes, pods, containers, deployments, and services.
- Use basic SQL queries to retrieve and validate data during application or database-related incident investigations.
- Acknowledge, prioritize, and respond to alerts according to severity, business impact, and established response procedures.
- Create and update ServiceNow incident tickets with accurate technical details, observations, troubleshooting actions, and supporting evidence.
- Escalate unresolved or critical incidents to the appropriate support teams and coordinate follow-up activities.
- Maintain clear shift handovers covering active incidents, outstanding alerts, actions taken, and pending follow-ups.
- Apply AI tools to explore problems and develop simple scripts, utilities, documentation, or proofs of concept that improve monitoring and support activities, in accordance with company policies.
Required Skills & Qualifications:
- Bachelor’s degree (B.E/ B Tech. Computer Science) from a four-year college or university, or equivalent, Masters a plus.
- Up to 2 years in observability, monitoring, application support, infrastructure operations, or a related production-support role
- Monitoring and visualization: Hands-on experience with Grafana and monitoring dashboards
- Log monitoring and analysis: Hands-on experience with OpenSearch for searching and analysing logs
- Application performance monitoring: Knowledge with one or more of Dynatrace, New Relic, Datadog, or Azure Application Insights
- Infrastructure and network monitoring: Knowledge with SolarWinds or similar infrastructure-monitoring tools
- Cloud platforms: Basic knowledge of AWS and Microsoft Azure services and their monitoring capabilities
- Container platforms: Basic knowledge of Kubernetes and experience monitoring containerized applications, including pods, nodes, deployments, and services
- Database knowledge: Basic SQL skills for retrieving and validating data
- Operating systems: Basic Linux knowledge and familiarity with commonly used troubleshooting commands
- Technical fundamentals: Understanding of networking, HTTP/HTTPS, APIs, databases, and distributed applications
- Service-management tools: ServiceNow for incident management
- Soft skills: Strong analytical, troubleshooting, communication, and documentation skills
- AI Knowledge: Demonstrate a basic understanding of AI and generative AI, including their capabilities, limitations, and practical applications.
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