We are seeking a skilled DevOps Developer with expertise in AWS or DigitalOcean to enhance our infrastructure and deployment processes. The ideal candidate will have a strong background in automating and optimizing operational processes, ensuring the scalability and reliability of our systems. As a DevOps Developer, you will play a crucial role in maintaining a secure, efficient, and high-performance development and production environment.

Qualification & Skills:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of hands-on experience as a DevOps Developer, with a focus on AWS or DigitalOcean.
  • Proven proficiency in infrastructure as code (IAC) tools such as Terraform or CloudFormation.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Strong scripting skills (e.g., Bash, Python) for automation and configuration management.
  • Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
  • Excellent problem-solving and troubleshooting skills.
  • Effective communication and collaboration skills to work with cross-functional teams.
  • Commitment to security best practices in all aspects of DevOps processes.

Job Details

Functional Area:
Total Positions:
1 Post
Job Shift:
Second Shift (Afternoon)
Job Type:
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Degree Title:
Bachelor\'s degree in Computer Science, Engineering, or a related field.
Career Level:
Experienced Professional
Minimum Experience:
3 Years
Apply Before:
Dec 18, 2023
Posting Date:
Nov 17, 2023

Enterprise Software Solutions

Information Technology · 1-10 employees - Lahore

Enterprise Software Solutions (ESS) is a software application development company. Our vision is to help automate your business process & workflow in every aspect using the latest technological innovations to provide you leverage and compliance in today’s everchanging business landscape. We strive to provide amazing user experiences through SaaS products, with incorporating Data Sciences, AI and Machine Learning (ML) Modeling where its applicable in your workflow.

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