Senior Dev Ops Engineer

Boardroom Appointments

Cape Town

On-site

ZAR 600,000 - 900,000

Full time

14 days+
Application generator

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Job summary

Boardroom Appointments is seeking an experienced DevOps Engineer in Cape Town to collaborate with development and operations teams to build and maintain automated deployment pipelines, manage cloud infrastructure, and optimize hosting costs.

You will implement and manage CI/CD tools, troubleshoot scaling and security issues, ensure high availability, maintain asset documentation, and contribute to disaster-recovery planning while advancing best practices.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • At least 5 years of professional experience in DevOps or a related field.
  • Experience with cloud infrastructure and services such as GCP, AWS or Azure.
  • Familiarity with infrastructure-as-code.
  • Strong understanding of containerization and orchestration technologies such as Docker and Kubernetes.
  • Proficiency in scripting languages such as Python, Bash, or Ruby.
  • Familiarity with monitoring and logging tools such as Prometheus and Grafana.
  • Excellent leadership, verbal and written communication skills.

Responsibilities

  • Collaborate with development and operations teams to build and maintain automated deployment pipelines.
  • Build and maintain automated deployment pipelines for software applications.
  • Manage infrastructure and cloud services, usually GCP.
  • Optimize hosting costs by following best practices.
  • Implement and manage continuous integration and delivery tools.
  • Troubleshoot issues and implement fixes relating to scaling and security.
  • Ensure high availability and scalability of applications and services.
  • Maintain detailed, up-to-date documentation of internal system assets.
  • Enable business continuity through disaster-recovery plans.
  • Collaborate with development and operations teams to improve processes and implement best practices.

Skills

Leadership
Verbal communication
Written communication

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
Terraform
Helm
Nginx
RabbitMQ
Redis
Prometheus
Grafana

Job description

  • In this role you will collaborate with development and operations teams to build and maintain automated deployment pipelines, manage infrastructure and cloud services, and troubleshoot issues.
  • Build and maintain automated deployment pipelines for software applications
  • Manage infrastructure and cloud services, usually GCP
  • Optimize hosting costs by following best practices
  • Implement and manage continuous integration and delivery tools
  • Troubleshoot issues and implement fixes relating to scaling and security
  • Ensure high availability and scalability of applications and services
  • Maintain detailed, up-to-date documentation of internal system assets
  • Enable business continuity through disaster-recovery plans
  • Collaborate with development and operations teams to improve processes and implement best practices
REQUIREMENTS:
  • Bachelors degree in Computer Science, Software Engineering, or a related field. Equivalent job experience will be considered
  • At least 5 years of professional experience in DevOps or a related field
  • Experience with cloud infrastructure and services such as GCP, AWS or Azure
  • Familiarity with infrastructure-as-code
  • Strong understanding of containerization and orchestration technologies such as Docker and Kubernetes
  • Proficiency in scripting languages such as Python, Bash, or Ruby
  • Familiarity with monitoring and logging tools such as Prometheus and Grafana
  • Excellent leadership, verbal and written communication skills
TO STAND OUT:
  • Deep knowledge and understanding of Google Cloud Platform, including VPC networks, Kubernetes, Compute Engine and horizontal and vertical scaling
  • Detailed knowledge of (reverse) proxy servers such as Nginx
  • Experience with helm, terraform or other IaC tools
  • Detailed knowledge of AMQP brokers such as RabbitMQ
  • Detailed knowledge of Redis or another in-memory shared database, with the ability to scale deployments on demand
  • Experience in transitioning a monolithic application into microservices
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