DevOps Engineer

Role Overview

We are seeking a DevOps Engineer to ensure the reliability, scalability, and efficiency of cloud infrastructure and deployment pipelines. This role focuses on automating workflows, managing cloud environments, and enabling continuous integration and delivery to support fast and stable software releases.

Key Responsibilities

• Design and manage CI/CD pipelines using Jenkins, GitLab CI/CD, and Azure DevOps

• Containerize applications with Docker and Podman

• Develop automation scripts using Python, Bash, and PowerShell

• Collaborate with development teams to streamline code integration into CI/CD pipelines

• Troubleshoot, debug, and optimize pipeline performance

• Implement security scanning and ensure compliance with security standards

• Maintain documentation for pipeline architecture, configurations, and troubleshooting

Required Qualifications

• Bachelor's degree in Information Technology, Computer Science, or related field (Master's preferred)

• Proficiency in MS Office or equivalent tools

• Cloud certifications (e.g., Amazon Web Services or Microsoft Azure) preferred

• Strong written and verbal communication skills with a willingness to learn and grow

• Experience leading development using Agile methodologies (Scrum, Kanban)

• Expertise in integrated enterprise systems, data flows, and business processes

• Experience with formal software development methodologies

• Strong analytical thinking, logical reasoning, and problem-solving skills

• Ability to work effectively in a team with strong interpersonal skills

Preferred Qualifications

• Master's degree in Information Technology, Computer Science, or a related field

• Certifications in cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform

• Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps

• Experience with containerization technologies such as Docker and Podman

• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, ARM templates)

• Experience working in Agile environments (Scrum, Kanban)

• Knowledge of security best practices, vulnerability scanning, and compliance standards

• Experience with scripting/automation using Python, Bash, or PowerShell

• Exposure to monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack)

• Prior experience working with enterprise-scale systems and distributed architectures

Compensation and Benefits

• Base Salary: Highly competitive offer (above pay grade)

• Performance Bonus: Annual or quarterly incentives tied to individual and company performance

Additional Perks

• AI and automation tools and technology