Description

Design and implement enterprise-scale cloud infrastructure and AI-driven data solutions on AWS, Azure, and Google Cloud Platform.

This role is on-site.

Responsibilities

• Architect complex enterprise solutions spanning data, infrastructure, applications, and security.
• Build and optimize serverless computing and PaaS products, including Kubernetes orchestration.
• Design data pipelines from System of Records (SOR) to lakehouses, integrating Machine Learning and Generative AI use cases.
• Consult with internal and external stakeholders to influence technology decisions and align with business goals.
• Explain highly technical solutions to diverse technical and non-technical audiences.

Required Skills

• 5-7+ years of relevant work experience in cloud architecture.
• Deep expertise in public cloud providers: AWS, Azure, and Google Cloud Platform.
• Hands-on experience with container orchestration, specifically Kubernetes.
• Proficiency with application and web servers: Apache Tomcat, Apache HTTP, and Microsoft IIS.
• Knowledge of serverless computing and PaaS products.
• Experience architecting data pipelines and lakehouse architectures.
• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent work experience).
• Ability to see the big picture and understand how architecture affects current and future technologies.

Preferred Skills

• Significant business knowledge with one or more areas of concentrated technical expertise.
• Proven track record of influencing technology and business leaders across organizational boundaries.

Key Skills

Education

Any Graduate