Platform Specialist
5 days ago
Job Title:
We are seeking a highly skilled and passionate Platform Engineer with experience in developing ML Infrastructure and Kubernetes.
Responsibilities:
- Design state-of-the-art GPU compute clusters to support critical workloads.
- Implement comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for commerce flows.
- Develop robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
- Plan monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
- Design specialized test frameworks for security controls and ensure compliance validation across payment and personal data.
- Architect scalable automation infrastructure supporting growing platform capabilities with consistent test environments.
- Troubleshoot system failures, diagnose, and perform root cause analysis of isolating components and failure scenarios in collaboration with internal and external partners.
- Optimize cluster operations for maximum reliability, efficiency, and performance.
Requirements:
- Over 6-8 years of experience working on 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 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 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 like 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.
Desirable Skills:
- Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Helm, and Operator Framework.
- Practical experience across major cloud platforms: Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
- Ability to adapt to new technologies and Frameworks in the ML landscape.
- A strong track record of successfully refactoring and optimising software for deployment within Kubernetes environments.
- Comfort discussing 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.
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