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Open nowPosted 47 hours ago

AWS DevOps Engineer - SB

DVT22 open roles

Where
Centurion , Gauteng, South Africa
Work mode
Hybrid
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Your applicationOpen nowAWS DevOps Engineer - SBDVT · Centurion , Gauteng, South Africa

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on DVT's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. DVT postings stay open a median of 8 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 47 hours ago

DVT median: 8 days open

The posting

At DVT, we help clients solve complex business challenges through modern software engineering, cloud platforms, and technology innovation.

We are looking for a hands-on AWS DevOps Engineer to lead the design, automation, security, and operational excellence of AWS cloud platforms. This role combines cloud infrastructure engineering, DevOps practices, platform reliability, security governance, and technical leadership. You will work closely with engineering teams to enable secure, scalable, and reliable software delivery while driving continuous improvement across cloud environments.

Key Responsibilities

  • Design, implement, and maintain AWS cloud infrastructure across multiple environments.
  • Develop and manage Infrastructure as Code using AWS CDK and CloudFormation.
  • Design, maintain, and improve CI/CD pipelines and deployment automation.
  • Establish and promote DevOps best practices across engineering teams.
  • Implement secure cloud solutions aligned with AWS security and governance standards.
  • Manage IAM, encryption, key management, secrets management, and cloud security remediation.
  • Lead incident response, problem management, root cause analysis, and reliability improvements.
  • Support disaster recovery planning and platform resilience initiatives.
  • Develop automation tools, scripts, and operational utilities.
  • Review infrastructure and application code and contribute to platform modernisation initiatives.
  • Mentor engineering teams on AWS, cloud engineering, and DevOps practices.

Minimum Requirements

  • Relevant experience in Cloud Engineering, Infrastructure Engineering, Systems Administration, Platform Engineering, or DevOps.
  • Strong AWS experience within enterprise, startup, or scale-up environments.
  • Demonstrated experience operating and supporting production environments at scale.
  • Experience designing and managing AWS infrastructure using: ECS Lambda VPC Route53 CloudFront IAM KMS Secrets Manager RDS DynamoDB S3 CloudFormation AWS CDK
  • Experience with Infrastructure as Code and environment provisioning.
  • Experience designing and supporting CI/CD pipelines.
  • Experience with Git-based source control and pipeline tooling.
  • Docker containerisation experience.
  • Strong understanding of: IAM Encryption and key management Least privilege access Zero Trust principles Cloud security best practices Security risk remediation
  • Ability to read, review, and modify application code where required.
  • Database experience with PostgreSQL and DynamoDB.
  • Preferred experience level:
  • 5+ years in infrastructure, cloud, platform engineering or DevOps roles; or
  • 5+ years with significant production ownership, strong automation capability, deep AWS operational experience, and evidence of rapid technical progression.

Preferred Experience

  • AWS Organisations and multi-account AWS environments.
  • Amazon EKS, EC2, SNS, EventBridge, CloudWatch, Transit Gateway, and Direct Connect.
  • Kubernetes, Helm, and ArgoCD.
  • SonarQube, Snyk, Nexus, and AWS ECR.
  • Blue/Green deployment strategies.
  • RDS administration, database migrations, backup and recovery planning.
  • Java or other modern programming languages used for automation and tooling.
  • Startup or scale-up experience.
  • Experience building AWS platforms from the ground up.
  • Experience leading cloud transformation or platform modernisation initiatives.
  • Experience working with AI-assisted engineering tools such as GitHub Copilot, Cursor, or Claude.

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