Sr. DevOps Engineer

7 days ago

Lahore, Punjab, Pakistan Techeezy Full time 900,000 - 1,200,000 per year

Job Title: DevOps Engineer

Location: Lahore

Department: Backend

Employment Type: Full-time

Experience: 3–4 years

About the Role

We are seeking a skilled DevOps Engineer to join our backend team in Lahore. The ideal candidate will design, implement, and manage CI/CD pipelines, automate infrastructure, and ensure reliable deployment and performance of AI/ML systems and software applications.

Key Responsibilities

  • Design, implement, and maintain CI/CD pipelines for AI/ML models and software systems.
  • Build and manage scalable, secure, and high-availability cloud infrastructure (AWS, GCP, or Azure).
  • Automate deployment, monitoring, and scaling processes to improve reliability and efficiency.
  • Manage and optimize containerized environments using Docker and Kubernetes.
  • Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.
  • Monitor system health, manage incidents, and ensure the integrity of data and models.
  • Drive cost optimization, performance tuning, and security best practices across cloud environments.
  • Collaborate with cross-functional teams to streamline continuous integration and delivery workflows for AI-driven systems.
  • Contribute to system architecture design and security control implementations.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 3–4 years of hands-on experience as a DevOps or MLOps Engineer.
  • Strong understanding of CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
  • Proven experience with cloud platforms, preferably AWS or GCP.
  • Proficiency in Linux, Docker, and Kubernetes.
  • Solid scripting skills in Python, Bash, or Shell.
  • Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack, etc.).
  • Good understanding of data pipelines, version control (Git), and model deployment workflows.
  • Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

  • Experience in system architecture design and security best practices.
  • Exposure to AI/ML model lifecycle management.
  • Knowledge of serverless architectures and microservices.
  • Experience with data engineering tools and practices.

Please fill the form:

Job Type: Full-time

Work Location: In person

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