DevOps Engineer at Safaricom Kenya

• Recommend, Design, setup, and implement cloud-native solution for DevOps platform and processes leveraging on opensource solutions
• Setup, monitor, support, integrate, and automate security and quality scans for infrastructure and service deployments
• Write automation scripts using Bash/Java/Python/Groovy/Ruby and automate systems health visualization, use various tools to orchestrate solutions i.e., Continuous Integration and Continuous Delivery Tools.
• Understand, setup and support basic ML models and algorithms for pro-active monitoring and Root Cause Analysis (RCA) for production errors leveraging on machine learning and AIOPs
• Configure and manage data sources e.g., RDBs and NoSQL and Implement solutions to improve observability and monitoring for tools/platforms and services
• Participating in the analysis and document requirements for development of new or improved infrastructure deployment automation.
• Build/integrate with tools to reduce occurrences of errors and improve deployment cycle, deploy updates and fixes, and implement integrations requested by software engineering team.
• Developing Cloud Native Applications.
• Investigate and resolve technical issues.
• Design procedures for system troubleshooting and maintenance.
• Maintain team and project management tools such as Jira, Confluence and Mural

• BSc or MS in Computer Science, Engineering, or relevant field.
• 2+ years of experience in managing Linux-based infrastructure.
• 2+ years of experience as a DevOps Engineer or similar software engineering role (DevOps Certifications will be an added advantage)
• 2+ years’ experience in DevOps processes and tools (Docker, Kubernetes, Vagrant, Chef/Puppet, Ansible, Jenkins, Dynatrace, Splunk, Git, Gitops, Redis, OpenShift, Terraform, Hashicorp vault, FluxCD).
• Demonstrable experience of continuous integration tools like Jenkins/Gitlab-ci/ Tekton.
• Demonstrable experience of Infrastructure as Code tools like Terraform/Cloud-formation.
• Experience in IT across designing, engineering and development of IT toolsets in the infrastructure monitoring, analytics and AIOPS solutions (Dynatrace, Splunk, Kibana)
• Strong understanding and experience on Machine Learning (ML) algorithms for various AIOPs use cases such as classification, clustering, and anomaly detection.
• Exposure to ELK stack, Monitoring, and observability solutions (Grafana, Prometheus, Dynatrace, Splunk,), OpenTelemetry implementation, automation testing on AWS cloud-based deployments, preferably in a containerized environment.
• Demonstrable experience in Public Cloud Platforms, deployment, and operations with a focus on AWS (Professional Certifications is an added advantage)
• Good knowledge of shell scripting using Bash/Python/Groovy/Go.
• Working knowledge of programming languages such as Java or Python.
• Working knowledge of databases, both RDBMS and NoSQL.
• Working knowledge of Cloud Native tools e.g. Crossplane, Liqo, opentelemetry
• Team spirit and team player.
• Excellent Interpersonal, problem-solving, good time-management, learning mentality, and communication skills.
• Demonstrable experience with continuous delivery methods such as GitOps.
• Experience and knowledge of agile methodologies

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