IT Specialist

• Have strong experience of deploying, configuring, and managing the Dynatrace, Grafana or Splunk platforms to monitor applications, services, servers, networks, and cloud resources.

• Be proficient in collecting, processing, and analysing various telemetry signals (metrics, logs, traces, events)

• Ability to analyse telemetry data to identify performance bottlenecks, availability risks, and system anomalies

• Ability to integrate Dynatrace, Grafana or Splunk with ITSM tools (such as ServiceNow) and CI/CD pipelines for proactive monitoring

• Have good problem-solving abilities with a systematic approach to diagnosing complex technical issues

• Strong analytical skills to interpret data, identify patterns, and draw actionable conclusions

• Be involved in investigating incident response activities and postmortem analyses using Dynatrace, Grafana or provide insights.

• Has the ability to troubleshoot and resolve data quality issues on time, ensuring data integrity and reliability

• Have experience of scripting tools such as Python, PowerShell and CI/CD tools for automation

• Have good experience of using Cloud solutions such as Azure & AWS and containerized environments (Kubernetes, OpenShift) to implement cloud-native monitoring

• Have good knowledge of ITSM/incident management tools integration.

• Interacts with and influences colleagues and has working level contact with customers

• Applies methodical approach to issue definition and resolution

• Demonstrates effective application of knowledge

• Takes action to develop their own knowledge and represents this in their work

• Communicates fluently, orally and in writing, and can present information to both technical and non-technical audiences. Accreditations:

• Dynatrace Associate & Pro Certifications

• Microsoft Certified: Security Operations Analyst Associate

• Splunk Core Certified Power User

Desirable Skills:

• Cloud platforms experience
• Experience in a DevOps or Site Reliability Engineering role
• Container native technologies and ecosystem experience
• The ability to learn new technologies and adapt to changing business needs.
• Automation and DevOps practices
• Knowledge of tools like Terraform to automate infrastructure provisioning
• Building continuous integration and continuous deployment (CI/CD) pipelines for data engineering applications
• Using Docker and Kubernetes for packaging and deploying data engineering workloads