Chief Cloud Technology Officer

4 days ago

Bengaluru, Karnataka, India beBeeSolution Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Cloud Solution Architect

We are seeking an innovative and experienced Cloud Solution Architect to join our team. The ideal candidate will have a strong background in AdTech and a deep understanding of AI/ML, cloud-based architectures, and distributed systems.

Key Responsibilities:

  • Architect scalable and innovative solutions for AdTech products, ensuring alignment with organizational goals and market needs.
  • Develop end-to-end solution architectures for web, mobile, and cloud-based platforms using the specified tech stack.
  • Advocate for best practices in system design, ensuring solutions meet non-functional requirements like scalability, reliability, and security.

Technical Leadership & Collaboration:

  • Collaborate with cross-functional teams to deliver iterative and focused solutions.
  • Provide architectural guidance and best practices for system integrations, APIs, and microservices.
  • Guide and mentor engineering teams during development and deployment phases, including code reviews and technical insights.

Innovation & Strategic Planning:

  • Identify areas for technical improvement and drive innovation within solutions.
  • Evaluate emerging technologies and recommend the best tools and frameworks to stay ahead of market trends.
  • Create technical roadmaps and detailed design documentation to align with business objectives.

Required Skills & Qualifications:

Core Experience:

  • 8-13 years of experience as a Solution Architect or a similar role.
  • A Bachelor's or Master's degree in Computer Science, IT, or a related field.

Technical Proficiency:

  • Expertise in Java, Python, and/or C++.
  • Strong knowledge of enterprise architecture frameworks (TOGAF, Zachman).
  • Expertise in distributed systems, microservices, and cloud-native architectures.
  • Proficiency in AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions.
  • Strong knowledge of databases, including MongoDB, SQL, and NoSQL.

Methodologies & Tools:

  • Proven experience working in an Agile environment and leading teams.
  • Familiarity with CI/CD pipelines, Git, and ML lifecycle tools like MLflow or DVC.
  • Knowledge of tools like Jira and Confluence.

Preferred Skills:

  • Proven experience in the AdTech, e-commerce, or OOH advertising technology industries.
  • Experience in deploying AI models in production, including optimizing for performance and scalability.
  • Understanding of deep learning, NLP, computer vision, or generative AI techniques.
  • Certifications in cloud technologies.

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