Job Title: DevOps Engineer
Hiring Organization: Safaricom
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Telecommunication
Job Type: Full
Time
Salary: KES
Competitive
Date Posted: 01/17/2024
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
