Sr Cloud Engineer (ML Operations)

TL;DR

Sr Cloud Engineer (ML Operations): Design, implement, and maintain AWS-based cloud infrastructure supporting AI and ML platforms with an accent on scalability, security, and reliability. Focus on automating infrastructure provisioning, managing cloud resources, and collaborating with data science teams to optimize ML workloads.

Location: Onsite in Bengaluru, India

Company

hirify.global is a global leader in ratings and integrated risk assessment, advancing AI to transform risk insight into actionable intelligence.

What you will do

• Lead design and maintenance of secure, scalable AWS cloud architecture for AI platforms.
• Automate infrastructure provisioning using Terraform and AWS CloudFormation.
• Implement monitoring, logging, and alerting for cloud resources.
• Manage system performance, availability, and disaster recovery strategies.
• Collaborate with data scientists and MLOps engineers to support ML and Generative AI workloads.
• Ensure compliance with cloud security best practices and troubleshoot complex system issues.

Requirements

• Location: Must be onsite in Bengaluru, India
• Bachelor’s or master’s degree in computer science, engineering, or related field.
• 3–4+ years experience in cloud systems engineering or architecture.
• Strong expertise in AWS services including EC2, VPC, IAM, S3, and CloudFormation.
• Proficiency in Linux administration and scripting (Python, Bash).
• Experience with Infrastructure-as-Code tools like Terraform and knowledge of networking and cloud security.
• English: B2 level or higher required

Nice to have

• AWS certifications (e.g., AWS Certified Solutions Architect – Professional).
• Experience with Microsoft Azure, CI/CD pipelines, Docker, Kubernetes.
• Exposure to ML/AI infrastructure requirements.