Software Engineer- DevOps

• Designation - Senior Software Engineer
• Qualification - BE/BTech
• Location - Pune
• Experience - 3 - 5 Years

JOB Description

• Work with Linux and Windows environments, handling system configurations, file systems, and shell scripting.
• Manage Git repositories (GitHub, GitLab, Bitbucket) for version control and collaboration.
• Develop and maintain automation scripts using Python, Bash, or PowerShell.
• Troubleshoot and optimize networking concepts including DNS, TCP/IP, firewalls, and load balancing.
• Implement and manage Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Develop and maintain CI/CD pipelines using Jenkins, GitLab CI, or similar tools.
• Automate system configurations using Ansible (experience with Puppet or Chef is a plus).
• Work with cloud platforms such as AWS, Azure, or GCP, with exposure to services like:
• AWS: EC2, S3, IAM, Lambda, ELB, AutoScaling, CloudWatch, CloudTrail, VPC.
• Azure: Virtual Machines, Storage, Networking.
• GCP: Compute, Storage, Networking.
• Deploy and manage containerized applications using Docker.
• Work with Kubernetes for container orchestration and cluster management.
• Collaborate with cross-functional teams to enhance automation, deployment, and system reliability
• Experienced in implementing secure development methodologies, ensuring robust protection of sensitive data and systems integrity

Qualifications and Skills

• Operating Systems: Strong knowledge of Linux fundamentals and basic Windows Server administration.
• Version Control: Proficiency with Git and repository management tools.
• Scripting: Hands-on experience with Python or Bash for automation (mandatory).
• Networking: Good understanding of DNS, TCP/IP, firewalls, and load balancing.
• Infrastructure as Code (IaC): Experience with Terraform or AWS CloudFormation.
• CI/CD: Working knowledge of Jenkins, GitLab CI, or similar tools.
• Configuration Management: Experience with Ansible (Puppet or Chef is optional).
• Cloud Computing: Basic knowledge of AWS, Azure, or GCP services.
• Containerization Orchestration:
• Understanding of Docker for container management.
• Basic knowledge of Kubernetes for orchestration.

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