Description

You will design and implement complex enterprise cloud solutions across AWS, Azure, and Google Cloud Platform. You will own the architecture of serverless computing, PaaS products, and container orchestration using Kubernetes.

Responsibilities

• Architect data pipelines from systems of record to lakehouses, ensuring scalability and reliability.
• Design and support infrastructure for application servers including Apache Tomcat, Apache HTTP, and Microsoft IIS.
• Integrate Machine Learning and Generative AI use cases into existing enterprise architectures.
• Collaborate with technical and business leaders to align technology strategies with organizational goals.
• Ensure security and data architecture best practices across all cloud environments.

Required Skills

• 5-7+ years of experience in cloud architecture and engineering.
• Deep expertise in Kubernetes and container orchestration technologies.
• Strong knowledge of AWS, Azure, and Google Cloud Platform services.
• Experience with serverless computing and Platform-as-a-Service (PaaS) products.
• Familiarity with Apache Tomcat, Apache HTTP Server, and Microsoft IIS.
• Ability to architect end-to-end data solutions including lakehouse implementations.
• Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

Preferred Skills

• Proven ability to explain complex technical concepts to non-technical stakeholders.
• Experience consulting across organizational boundaries to drive technology adoption.

Key Skills

Education

Any Graduate