Cloud Architect Specialist

1 week ago

Ellore, Andhra Pradesh, India beBeeEngineer Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title: Principal Cloud Infrastructure Engineer

">">Job Description">

The role of a Senior Platform Engineer at our company involves designing, implementing, and optimizing cutting-edge infrastructure for critical GenAI workloads. This includes collaborating with architects to design highly robust and scalable systems, as well as providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.

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We seek an engineer who champions our dedication to innovation and expertise in production-scale platforms within the GenAI or ML domain.

">Required Skills and Qualifications">">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 decisions with internal team.">An 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.">Benefits">

Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.

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Practical, production-level experience across major cloud platforms: Azure Cloud, Google Cloud Platform (GCP), or Amazon Web Services (AWS).

">Others">

A strong track record of successfully refactoring and optimizing software for deployment within Kubernetes environments.

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Understanding of the CNCF landscape and its associated tooling.

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The ability to decompose complex problems into simpler sub-problems and leverage existing solutions for efficient implementation, along with designing simple, self-sustaining systems.

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Experience leveraging AI/ML to proactively detect and resolve incidents, automate alert triaging, perform log analysis, and streamline repetitive workflows.

">How to Apply">

When applying, please include your relevant skills and experience.

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