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DevOps Engineer

Salary undisclosed

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Job Summary:

We are searching for a highly skilled DevOps Engineer to join our growing team. In this role, you will play a critical role in driving application modernization and cloud adoption initiatives. The ideal candidate possesses a strong background in DevOps practices, cloud technologies, and a passion for automation.

Responsibilities:

  • Design, implement, and maintain CI/CD pipelines for efficient software delivery.
  • Collaborate with development and operations teams to automate infrastructure provisioning and management.
  • Implement and manage cloud infrastructure on platforms like AWS and Azure.
  • Migrate and modernize legacy applications to cloud-native architectures.
  • Implement and manage containerization strategies (Docker, Kubernetes).
  • Implement infrastructure as code (IaC) practices using tools like Terraform or Ansible.
  • Monitor system performance and troubleshoot issues.
  • Collaborate with data engineering teams to implement data pipelines and big data solutions.
  • Stay up to date with the latest DevOps trends and technologies.
  • Collaborate with the sales team to understand customer requirements, challenges, and business goals.
  • Conduct technical proof-of-concepts (POCs) to demonstrate solution feasibility, value proposition, and performance optimization.

Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Minimum 5+ years of experience as a DevOps engineer or similar role.
  • Proven experience in DevOps engineering with a strong focus on automation and cloud technologies.
  • Proficiency in scripting languages (Python, Bash, PowerShell).
  • Hands-on experience with CI/CD tools (Jenkins, GitLab CI/CD, etc.).
  • Strong understanding of containerization technologies (Docker, Kubernetes).
  • Experience with cloud platforms (AWS, Azure).
  • Knowledge of infrastructure as code tools (Terraform, Ansible).
  • Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack).
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.
  • Experience with AI/ML and big data technologies is a plus.
  • Presales experience is a plus.