DBiz.ai - Cloud Engineer - AWS Infrastructure
1 week ago
Description :Job Title : Cloud Engineer AWS, CI/CD & Infrastructure AutomationDepartment : Information Technology / Research ComputingLocation : Bangalore/KochiShift : GeneralJob Type : Full-TimeReports To : Director of IT Infrastructure / Head of Research ComputingPosition Summary :DBiz.ai is seeking a dedicated and technically proficient Cloud Engineer to support our growing cloud infrastructure needs across academic, research, and administrative domains.The ideal candidate will have strong experience with AWS core services, CI/CD pipelines using GitHub, and Infrastructure as Code (IaC) to help modernize and automate our cloud environments.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 :- Bachelors 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., Python, Bash).- Exposure to AWS Machine Learning services (e., SageMaker, Bedrock), Data Analytics tools (e., Redshift), and Data Processing and Orchestration services (e., 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., 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 (ref:hirist.tech)
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