Observability & Automation Engineer

About the role

CIC Insurance is hiring a full-time Observability & Automation Engineer in Nairobi, reporting to the DevOps Manager. The engineer designs, implements and maintains enterprise monitoring, observability and automation solutions that protect the availability, performance, security and reliability of core systems and channels within the Technology Reliability Department. The focus is on proactive incident detection, system visibility, operational efficiency and automating repetitive operational tasks.

Key responsibilities

• Design and manage enterprise observability and monitoring platforms, covering infrastructure, application, database, network, log and digital experience monitoring.
• Develop dashboards, alerts, SLIs and SLOs for critical services and establish end-to-end transaction monitoring across all channels.
• Improve alert accuracy and reduce false positives and alert fatigue.
• Identify and automate repetitive processes, build scripts, workflows and self-healing solutions, and automate health checks, incident response, server provisioning, configuration management, compliance reporting and maintenance.
• Create runbooks and automated operational procedures.
• Manage and optimise tools such as Dynatrace, Datadog, Splunk, ELK, Prometheus and Grafana, integrate monitoring platforms with ITSM tools, and work with information security teams on threat detection.
• Partner with application, infrastructure, architecture and support teams and drive observability maturity and reliability best practices.

Required profile

• Bachelor's degree in Information Technology, Computer Science, Engineering or a related field.
• 3-4 years of experience in Site Reliability Engineering, DevOps and monitoring and observability.
• Experience with enterprise observability and monitoring platforms.
• Preferred: SRE/DevOps certifications.

Required skills

• Strong scripting with Python, Bash and Ansible.
• Experience with Kubernetes, Linux and VMware.
• Deep understanding of API and network monitoring.
• Proactive approach to spotting problems, improvements and performance bottlenecks.