Associate Technical Architect - Platform Engineer

Job Summary:

Platform Architect

Cloud-Native development

What You’ll Be Doing:

Platform Architect

• Designing and implementing state-of-the-art GPU 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.

What We Need To See:

Platform Engineer

• 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 optimizing 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.