Monitoring & Automation Specialist

independently, working with limited supervision, and provides leadership and guidance to other professionals and support staff, ensuring the adoption of best practices and strategic alignment. Main Accountabilities: - Lead the design, architecture, and implementation of sophisticated monitoring solutions for enterprise-level applications, infrastructure, and cloud services to ensure proactive identification of performance degradation and availability issues. - Develop, maintain, and enhance automation frameworks and tools, leveraging scripting and orchestration platforms to significantly reduce manual intervention, improve efficiency, and ensure consistency in IT operations. - Manage small to medium projects of moderate to significant complexity related to monitoring and automation initiatives, taking full ownership from conception through delivery and post-implementation review. - Conduct in-depth analysis of system performance data, logs, and metrics to identify root causes of complex problems, anticipate future needs, and recommend strategic improvements to system architecture and operational processes. - Contribute significantly to process improvements within the Business Technology department, leveraging expertise in monitoring and automation to refine existing procedures and establish new best practices. - Provide expert-level guidance, mentorship, and technical leadership to less experienced team members and other IT professionals on monitoring tools, automation techniques, and operational excellence. - Collaborate extensively with cross-functional teams, including Development, Operations, Security, and Business units, to integrate monitoring and automation into the entire software development lifecycle (SDLC) and operational workflows. - Ensure the monitoring and automation infrastructure adheres to security standards, compliance requirements, and corporate governance policies, contributing to audit readiness and risk mitigation. Education/Experience: -

Bachelor's degree (a Master's degree may be preferred) with 11-14 years of position-related experience in IT monitoring, automation engineering, or a related infrastructure discipline, or an equivalent combination of education and experience level. - Expert-level knowledge of enterprise monitoring platforms (e.g., Splunk, Dynatrace, Prometheus, Grafana, ELK Stack, Azure Monitor, AWS CloudWatch). - Extensive experience with automation and orchestration tools (e.g., Ansible, Terraform, Puppet, Chef, Jenkins, GitLab CI/CD). - Strong understanding of cloud platforms (AWS, Azure, GCP) and their native monitoring/automation services. - Advanced knowledge of IT infrastructure (servers, networks, storage, virtualization) and application architectures. - Familiarity with containerization (Docker, Kubernetes) and microservices monitoring. - Strong analytical, problem-solving, and diagnostic skills, with the ability to perform root cause analysis for complex technical issues. - Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences and influence technical decisions.