Senior Cloud Infrastructure Specialist

Role : Cloud Infrastructure Engineer

Experience : 6 to 8 Years

Location : Remote (Hybrid)

Job Summary:

We are seeking a skilled and passionate Cloud Engineer with extensive experience in designing, developing and maintaining production-scale cloud infrastructure.

You'll be instrumental in designing, implementing, and optimizing our cutting-edge cloud environments for critical GenAI workloads. Your responsibilities will include:

• Designing and implementing state-of-the-art cloud compute clusters to support critical workloads.
• Designing comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
• Developing robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
• Planning of comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
• Designing specialized test frameworks for security controls and ensuring compliance validation across payment and personal data.
• Architecting a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
• Troubleshooting, diagnosing, and performing root cause analysis of system failures, isolating components and failure scenarios in collaboration with internal and external partners.
• Optimizing cluster operations for maximum reliability, efficiency, and performance.

Required Skills and Qualifications:

We are seeking a highly skilled and passionate Cloud Engineer with:

• Over 6-8 years of experience working with developing ML Infrastructure.
• Over 3 years of hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes.
• A proven history of engaging with and contributing to open-source projects.
• A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
• The ability to effectively communicate complex technical designs and quality approaches across various mediums.
• A deep understanding of GPU computing and AI infrastructure.
• A strong passion for solving complex technical challenges and optimizing system performance.
• Working knowledge of cluster configuration management tools such as BCM or Ansible, and infrastructure-level applications including Kubernetes, Terraform, and MySQL.
• In-depth understanding of container technologies like Docker and Containers.
• Proficiency in programming with Python and Bash scripting.

Ways To Stand Out From The Crowd:

Candidates who possess the following will be highly competitive:

• Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.
• Practical, production-level experience across major cloud platforms: Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
• Ability to adapt to new technologies and Frameworks in ML/GenAI landscape.
• A strong track record of successfully refactoring and optimising software for deployment within Kubernetes environments.
• Comfort discussing and working with core Kubernetes concepts like CSI, CNI, and CRI.
• Comprehensive understanding of the CNCF landscape and its associated tooling.
• The ability to decompose complex problems into simpler sub-problems and leverage existing solutions for efficient implementation, along with designing simple, self-sustaining systems.
• Experience leveraging AI/ML to proactively detect and resolve incidents, automate alert triaging, perform log analysis, and streamline repetitive workflows.