DevOps Engineer
Job in
Johannesburg, 2000, South Africa
Listed on 2025-12-15
Listing for:
SavageOne Pty Ltd
Full Time
position Listed on 2025-12-15
Job specializations:
-
IT/Tech
Cloud Computing, SRE/Site Reliability, IT Project Manager, Systems Engineer
Job Description & How to Apply Below
We are looking for a highly skilled Senior Dev Ops Engineer to join our team and take ownership of our cloud infrastructure, automation pipelines, and deployment processes. You will work closely with developers, security teams, and IT operations to ensure a scalable, secure, and efficient software delivery lifecycle.
Key Responsibilities- Design, implement, and maintain CI/CD pipelines to enable fast and reliable deployments.
- Manage cloud infrastructure (AWS, Azure, or GCP) using Infrastructure as Code (IaC) tools like Terraform or Ansible.
- Automate deployment, monitoring, and scaling of applications in containerized environments (Docker, Kubernetes).
- Ensure system reliability, high availability, and security through monitoring, logging, and alerting tools (Prometheus, ELK, Datadog, etc.).
- Collaborate with development teams to optimize build and release workflows.
- Implement security best practices and compliance policies for cloud-based deployments.
- Troubleshoot and resolve issues in development, test, and production environments.
- Drive continuous improvement in Dev Ops methodologies and tools.
- 5+ years of experience as a Dev Ops Engineer, Site Reliability Engineer (SRE), or similar role.
- Strong expertise in CI/CD tools such as Jenkins, Git Lab CI, Git Hub Actions, or Azure Dev Ops.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
- Proven ability to manage and scale cloud services on AWS, Azure, or GCP.
- Strong scripting and automation skills using Bash, Python, or Go.
- Experience with Infrastructure as Code (Terraform, Cloud Formation, or Ansible).
- Familiarity with networking, security, and monitoring best practices.
- Experience in logging and monitoring using tools like ELK Stack, Prometheus, Grafana, or Splunk.
- Knowledge of version control systems (Git) and agile methodologies.
- Experience with serverless architectures (AWS Lambda, Azure Functions).
- Knowledge of database management and optimization (SQL & No
SQL). - Understanding of security frameworks (SOC2, ISO
27001, or Dev Sec Ops practices). - Exposure to machine learning pipelines in cloud environments.
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