Job Description
Safaricom is the leading provider of converged communication solutions in Kenya.
In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet and Financial services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects.
DevOps Engineer
Key Responsibilities
Recommend, Design, setup, and implement cloud-native solution for DevOps platform and processes leveraging on opensource solutionsSetup, monitor, support, integrate, and automate security and quality scans for infrastructure and service deploymentsWrite 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 AIOPsConfigure and manage data sources e.g., RDBs and NoSQL and Implement solutions to improve observability and monitoring for tools/platforms and servicesParticipating 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 Qualifications
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, opentelemetryTeam 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