Job Description

This is a remote position.

Job Description

We are seeking a highly experienced and visionary Cloud Technical Architect to lead the design and implementation of scalable, secure, and high-performance cloud infrastructures that support AI and GenAI workloads. This role requires a deep understanding of cloud-native technologies, infrastructure automation, and best practices in deploying machine learning and data-intensive systems at scale. The ideal candidate will play a critical role in shaping the cloud strategy of our AI-driven products and services.

Responsibilities

• Lead the architecture, design, and implementation of end-to-end cloud infrastructure supporting AI/ML systems.
• Design scalable and secure solutions across public clouds (AWS/Azure/GCP) aligned with enterprise and AI product needs.
• Collaborate with data scientists, MLOps, and engineering teams to define infrastructure standards and deployment pipelines.
• Ensure cloud solutions are cost-optimized, resilient, and meet high-availability requirements.
• Define infrastructure as code (IaC) standards using Terraform, CloudFormation, or similar tools.
• Ensure compliance with data privacy, governance, and security policies (GDPR, HIPAA, etc.).
• Create architecture documents, cloud strategies, roadmaps, and deployment guides.
• Stay updated on industry trends in cloud and AI infrastructure to advise on new technologies and tools.
• Conduct performance reviews of cloud-based applications and optimize where necessary.
• Provide leadership and mentoring to DevOps and infrastructure teams.
  
  

Requirements

Essential Skills:

Job

• 8+ years of experience in architecting cloud-native solutions.
• Deep expertise in AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of containerization and orchestration (Docker, Kubernetes, EKS, GKE, AKS).
• Experience with deploying AI/ML workloads on cloud (SageMaker, Vertex AI, Azure ML).
• Proficiency in Infrastructure as Code (Terraform, Pulumi, CloudFormation).
• Strong knowledge of CI/CD pipelines, DevOps tools (Jenkins, GitHub Actions, ArgoCD, etc.).
• Deep knowledge of cloud security best practices, IAM, VPC, encryption, firewalls, etc.
• Experience with scalable data pipelines and distributed systems.
• Hands-on experience with cloud monitoring tools (Prometheus, CloudWatch, Stackdriver).
  
  

Personal

• Strong problem-solving and decision-making capabilities.
• Excellent verbal and written communication skills.
• Ability to collaborate across engineering, data science, and business teams.
• Strong leadership and mentoring ability.
• Organized, self-driven, and comfortable working in fast-paced environments.
  
  

Preferred Skills:

Job

• Experience with GenAI architectures, LLM deployment, or Retrieval-Augmented Generation (RAG).
• Certifications like AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or GCP Professional Cloud Architect.
• Familiarity with hybrid cloud and multi-cloud strategies.
• Understanding of data lake architecture and streaming data solutions.
  
  

Personal

• Passion for emerging technologies and innovation.
• Adaptable to changing priorities and technologies.
• Strong stakeholder management skills.
  
  

Other Relevant Information

• Bachelor’s in Engineering with specialization in Computer Science or Artificial Intelligence or Information Technology or a related field.
  
  

Benefits

• This role offers the flexibility of working remotely in India.
  
  

LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants.

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