Technical Operation Engineer
2 days ago
The
technical operations engineer
is responsible for ensuring reliable, resilient, and efficient IT operations by combining
IT Service Management practices
with advanced
process automation, observability, and AI-driven monitoring
. This role acts as the first line of defense for system reliability — detecting anomalies, resolving incidents within SLA, and preventing outages through proactive monitoring and automation.
The engineer leverages
modern ITSM frameworks, automation tools, and observability platforms
to reduce manual overhead, improve service quality, and enable predictive operations. Success in this role is measured by improved system uptime, faster incident resolution (MTTR), reduced repetitive workloads, and the ability to collaborate effectively with business and technology teams.
Nature of Work:
- Work on shifting schedule (Morning & Mid, 12x4) to ensure 24/7 coverage.
- Provide
IT Service Management (incident, problem, change, request)
and triage support. - Drive
process automation
initiatives to reduce manual tasks and increase operational efficiency. - Develop and maintain
custom service checks
to detect anomalies, performance degradation, and failures across systems and services. - Drive
observability practices
by building dashboards, alerts, and KPIs for proactive monitoring. - Apply
AI-driven monitoring and analytics
to predict and prevent incidents. - Analyze system gaps, address recurring issues, and improve resiliency and reliability of IT services.
- Collaborate effectively with cross-functional business and technical teams.
Displayed Skill Mastery:
- IT Service Management frameworks (ITIL, Jira Service Management, ServiceNow).
- Observability platforms (Splunk, Datadog, Dynatrace, Prometheus, Grafana).
- Security and compliance standards (PCI DSS, ISO 27001, IT Security fundamentals).
- Automation & scripting (Python, Ansible, Bash, JavaScript, PowerShell).
- Cloud infrastructure management (AWS, Azure, GCP) and hybrid environments.
- AI/ML-driven monitoring and automation tools (AIOps platforms).
- Strong analytical, problem-solving, and cross-team collaboration skills.
Qualifications:
- Bachelor's degree in Computer Science or related field.
- 2+ years of experience in IT Operations, Service Management, or Site Reliability Engineering.
- Hands-on experience with Splunk & observability platforms is an advantage.
- At least 1 year of cloud infrastructure management (AWS, Azure, or GCP).
- At least 1 year of experience in automation and scripting (Python, Ansible, JavaScript, or similar).
- Strong knowledge of Linux systems, IT security principles, and compliance standards (PCI DSS, ISO).
- Exposure to
AIOps / AI-based monitoring tools
is an advantage.
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