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.

Summary

Reporting to the DevSecOps lead • Digital Engineering, the position holder will be responsible developing and building DevOps Platforms/processes, automation of  IT infrastructure provisioning, implementing reusable and secured components, translating technical requirements, assisting and guiding throughout software development stages, and performing script maintenance and updates.

The DevOps Engineer will be responsible for building automated deployments, deploying new modules and upgrades, deploying product updates, identifying production issues, implementing integrations that meet stakeholders’ needs, completing fixes within the production environment as well as monitoring the environments and deployments for service/product availability.

DevOps Engineer’s duty will also be to make modules production-ready, which entails moving

them according to specific procedures and documenting knowledge transfer. Ultimately, he/she will execute and automate operational processes fast, accurately, and securely.

DevOps Engineer’s duty will also be applying the experience of IaC to develop infrastructure as code practice by constantly increasing automation and improving IaC processes. Share your experience, know-how, and best practices with other team members in design sessions, mentorship, and doing work together.

Being part of the technical team, he/she will evaluate existing applications and platforms, give recommendations for enhancing performance via gap analysis, identify the most practical alternative solutions, and assist with modifications.

RESPONSIBILITIES

• 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

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, 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