DevOps Engineer

Company Details
Name:Pavago
Industry: Consulting
Description: Pavago connecting businesses with top talent, streamlining hiring processes, and providing comprehensive support for long-term success.
Job Details
Job Type: Full Time
Workplace Type: On-site
Qualification: Diploma
Job Experience: Mandatory
Job Location: Nairobi County, Kenya
Closing Date: Undisclosed
Salary: KES Unspecified / month
Other Pay: Benefits
Job Category: Telecommunications
Job Description

Job Title: Cloud Infrastructure Engineer / DevOps Engineer

We are seeking an experienced Cloud Infrastructure Engineer to design, deploy, and manage scalable, secure, and cost-efficient cloud environments across AWS, Azure, and GCP. In this role, you will own the full lifecycle of infrastructure, CI/CD pipelines, container orchestration, and monitoring—driving automation and reliability at every layer.

Key Responsibilities

Cloud Infrastructure

  • Design, deploy, and manage cloud infrastructure across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
  • Build scalable, secure, and highly available cloud environments.
  • Optimize cloud architecture for performance, reliability, and cost efficiency.
  • Support production infrastructure and disaster recovery planning.

Infrastructure as Code (IaC)

  • Build and maintain infrastructure using Terraform, AWS CloudFormation, and Pulumi.
  • Manage infrastructure through version-controlled deployments.
  • Standardize infrastructure provisioning and configuration.
  • Continuously improve automation and infrastructure consistency.

CI/CD & Automation

  • Design, build, and optimize CI/CD pipelines using GitHub Actions, Jenkins, and GitLab CI/CD.
  • Automate application deployments, testing, and release workflows.
  • Improve deployment speed while maintaining reliability.
  • Reduce manual operational tasks through automation.

Containers & Kubernetes

  • Deploy and manage containerized applications using Docker and Kubernetes.
  • Maintain scalable and resilient Kubernetes clusters.
  • Optimize container orchestration and workload performance.
  • Support application scalability across multiple environments.

Monitoring & Reliability

  • Implement monitoring and observability using Prometheus, Grafana, and Elasticsearch.
  • Monitor infrastructure health and application performance.
  • Investigate incidents and resolve production issues quickly.
  • Improve system uptime, alerting, and operational visibility.

Qualifications

Must-Have Qualifications

  • Experience: 3+ years in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or Infrastructure Engineering.
  • Core Skills:
    • Hands-on experience with AWS, Azure, or GCP.
    • Experience with Docker, Kubernetes, and CI/CD pipelines.
    • Experience with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Pulumi.
    • Strong scripting skills using Python, Bash, or PowerShell.
    • Strong troubleshooting and automation mindset.
    • Excellent written and verbal English communication skills.

Nice to Have

  • Experience working in Terraform-heavy environments.
  • Multi-cloud infrastructure experience.
  • Experience supporting high-traffic or high-availability applications.
  • Familiarity with microservices architectures.
  • Cloud cost optimization experience.
  • Experience with monitoring, observability, and platform engineering.

Tools & Technologies

  • AWS
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker
  • Terraform
  • AWS CloudFormation
  • Pulumi
  • GitHub Actions
  • Jenkins
  • GitLab CI/CD
  • Prometheus
  • Grafana
  • Elasticsearch
  • Python
  • Bash
  • PowerShell

What Makes You a Strong Fit

  • Passionate about automation and cloud-native technologies.
  • Strong problem-solving and troubleshooting abilities.
  • Comfortable working in production environments.
  • Proactive and ownership-driven.
  • Collaborative team player who works well with software engineers.
  • Continuously looks for opportunities to improve reliability and efficiency.

What a Typical Day Looks Like

  • Monitor cloud infrastructure and resolve operational issues.
  • Build and improve CI/CD pipelines.
  • Deploy and manage Kubernetes workloads.
  • Optimize infrastructure performance and scalability.
  • Automate repetitive operational tasks.
  • Collaborate with development teams on deployment strategies.
  • Improve monitoring, alerting, and system reliability.
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