DevOps Engineer (AI-Driven Automation)

9D Technologies


Date: 1 week ago
City: Rawalpindi
Contract type: Full time
9D Technologies is at the forefront of app and game publishing, delivering innovative and engaging mobile experiences to users around the globe. Our mission is to create extraordinary digital experiences that captivate and entertain, and we are committed to pushing the boundaries of creativity and technology.

Responsibilities

  • Design, implement, and manage robust CI/CD pipelines to ensure efficient, reliable, and secure deployments
  • Leverage AI and machine learning to identify bottlenecks, predict failures, and optimize build and deployment processes
  • Develop and maintain infrastructure-as-code (IaC) scripts using tools like Terraform, CloudFormation, or Ansible
  • Implement AI-driven solutions for self-healing infrastructure, anomaly detection, and intelligent scaling
  • Utilize AI-powered monitoring tools to predict and preempt system failures
  • Streamline incident response with automated root cause analysis and remediation workflows
  • Work closely with development, QA, and security teams to embed AI-driven automation into all stages of the software lifecycle
  • Document deployment workflows, automation processes, and AI/ML implementations for cross-team transparency
  • Explore and implement emerging AI technologies to enhance operational efficiency and system reliability
  • Provide insights and recommendations for improving DevOps practices using data-driven approaches


Requirements

  • Bachelor's Degree in Computer Science, Software Engineering or a related field
  • 3 - 5 years of experience in DevOps and Cloud Architecture
  • Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, CircleCI, or ArgoCD
  • Proficiency with containerization tools such as Docker and orchestration platforms like Kubernetes
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and associated services
  • Familiarity with AI-powered tools for DevOps, such as Harness, Dynatrace, or Datadog AI
  • Understanding of AI/ML models and their applications in deployment pipelines and monitoring
  • Expertise in scripting languages like Python, Bash, or PowerShell
  • Experience with IaC tools like Terraform, CloudFormation, or Pulumi
  • Knowledge of configuration management tools such as Ansible, Chef, or Puppet
  • Analytical mindset to diagnose and resolve system issues proactively
  • Strong communication skills to collaborate with cross-functional teams effectively


Preferred Qualifications:

  • Certifications in cloud platforms (AWS, Azure, GCP) or DevOps methodologies
  • Experience in building AI/ML pipelines for DevOps workflows
  • Familiarity with version control systems like Git and branching strategies
  • Knowledge of security best practices in DevOps pipelines


Benefits

  • Competitive Salary
  • Family Health Insurance
  • Paid Time Off
  • Work-Life Balance
  • Daily lunch
  • In-house Gym

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