DevOps Engineer

Naukri.com is currently listing multiple DevOps Engineer positions across various organizations in India. These roles are suited for professionals with 3 to 6 years of experience in building and optimizing modern infrastructure pipelines. DevOps Engineers will be responsible for automating deployment workflows, managing cloud-based environments, and ensuring the reliability and scalability of applications in production.

Key focus areas for these positions include Continuous Integration and Continuous Deployment (CI/CD), leveraging AI-driven operations, and working with leading cloud platforms such as AWS, Azure, or Google Cloud. Engineers are expected to collaborate closely with development and operations teams to streamline the software delivery lifecycle, monitor system performance, and resolve infrastructure issues proactively.

Candidates should have a strong foundation in scripting, configuration management tools, containerization technologies (e.g., Docker, Kubernetes), and infrastructure-as-code practices. Experience with monitoring and logging tools, as well as security best practices in cloud environments, is highly valued.

Salary Range: ₹50,000 – ₹3 Lakhs Per Annum, depending on experience, skill set, and the hiring organization. This range reflects opportunities spanning mid-level to senior DevOps roles across industries.

These positions are ideal for DevOps professionals looking to advance their careers in a fast-paced, technology-driven environment with growth opportunities in AI and cloud-native development.

• Experience: 3–6 years in DevOps, SRE, or related infrastructure engineering roles
• CI/CD: Hands-on experience with Continuous Integration and Continuous Deployment pipelines (Jenkins, GitLab CI, CircleCI, or similar)
• Cloud Platforms: Proficiency with at least one major cloud provider (AWS, Microsoft Azure, or Google Cloud Platform)
• Containerization: Knowledge of Docker, Kubernetes, and container orchestration
• Infrastructure as Code: Experience with Terraform, Ansible, Chef, or Puppet
• Scripting: Strong scripting skills in Bash, Python, or similar languages
• AI/ML Awareness: Familiarity with AI-driven operations and intelligent monitoring tools
• Monitoring & Logging: Experience with tools such as Prometheus, Grafana, ELK Stack, or Datadog
• Version Control: Proficient with Git and branch management strategies
• Soft Skills: Strong problem-solving abilities, cross-functional collaboration, and effective communication