Job Title: IT Support Engineer
Experience required: Minimum 3 years and maximum 5 years
Work schedule: 24×7 rotational shifts with monthly shift rotation
Role Overview
We are looking for an IT Support Engineer with 3–5 years of relevant experience to join our 24×7 monitoring and 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.
Key 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.
- Contribute to dashboard improvements, alert tuning, knowledge articles, and documentation of investigation findings.
- 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 and Experience
Skill Area
Required Tools and Knowledge
Relevant experience
3–7 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
Experience with one or more of Dynatrace, New Relic, Datadog, or Azure Application Insights
Infrastructure and network monitoring
Experience with SolarWinds or similar infrastructure-monitoring tools
Observability fundamentals
Strong understanding of metrics, logs, traces, dashboards, alerting, and incident investigation
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
Experience with ServiceNow for incident management; familiarity with Jira for issue tracking and Opsgenie for alerting and on-call 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.
Shift Schedule and Allowance
- This role is part of a 24×7 operations team and requires working rotational shifts, including night shifts, weekends, and public holidays as scheduled.
- Shift assignments rotate monthly according to the team roster.
- Team members receive two days off after every five consecutive working days.
- Both shifts and weekly days off are rotational. Weekly days off may fall on weekdays or weekends.
- Shift allowance will be provided as per company norms.
Required Qualifications
- Bachelor's degree (B.E/ B Tech. Computer Science) from a four-year college or university, or equivalent, Masters a plus.
Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Wolters Kluwer Pune, Mahārāshtra, IND Office
Building E, East Tower, Marisoft III. , Pune, India, 411014
