Cloud Engineer

Job Title: Cloud Engineer – AWS, CI/CD & Infrastructure Automation

Department:

Location:

Shift: Need clarity

Job Type:

Reports To:

Position Summary:

Cloud Engineer

Key Responsibilities:

• Design, implement, and manage

  AWS-based cloud infrastructure

  to support academic and research computing needs.
• Develop and maintain

  CI/CD pipelines

  for deploying applications and services using GitHub Actions or similar tools.
• Automate infrastructure provisioning and configuration using

  IaC tools

  such as Terraform or AWS CloudFormation.
• Design and implement solutions using AWS Machine Learning (SageMaker, Bedrock), data analytics (Redshift), and data processing tools (Glue, Step Functions) to support automation and intelligent decision-making
• Collaborate with faculty, researchers, and IT staff to support cloud-based research workflows and data pipelines.
• Ensure cloud environments are secure, scalable, and cost-effective.
• Monitor system performance and troubleshoot issues related to cloud infrastructure and deployments.
• Document cloud architecture, workflows, and best practices for internal knowledge sharing and compliance.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong experience with

  AWS core services

  (EC2, S3, IAM, VPC, Lambda, CloudWatch, etc.).
• Proficiency in

  GitHub

  and building

  CI/CD pipelines

  .
• Hands-on experience with

  Infrastructure as Code

  tools (Terraform, CloudFormation, etc.).
• Familiarity with scripting languages (e.g., Python, Bash).
• Exposure to AWS Machine Learning services (e.g., SageMaker, Bedrock), Data Analytics tools (e.g., Redshift), and Data Processing and Orchestration services (e.g., Glue, Step Functions).
• Strong understanding of cloud security, networking, and architecture principles.
• Excellent communication and collaboration skills, especially in academic or research settings.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Solutions Architect – Associate).
• Experience supporting

  research computing environments

  or

  academic IT infrastructure

  .
• Familiarity with containerization (Docker, Kubernetes) and hybrid cloud environments.
• Experience working in a university or public sector environment.