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Job Description

Overview:

We are seeking an experienced Cloud Architect with over 2 years of experience to lead the design and implementation of our cloud infrastructure, specifically tailored for our advanced AI and machine learning initiatives. You will be the architect of a robust, scalable, and secure cloud environment that serves as the foundation for our AI-powered products. Your expertise will be crucial in building a cost-effective and high-performance infrastructure that supports the entire AI/ML lifecycle, from data processing and model training to large-scale inference.

Responsibilities:

  • AI Infrastructure Design: Architect and implement scalable, resilient, and secure cloud solutions on AWS, designed to support high-throughput AI workloads.
  • Technology Integration: Design and integrate a wide array of services and technologies, including FastAPI for APIs, Kafka for real-time data streaming, and various databases like PostgreSQL, Redis, and Pinecone, into a cohesive and efficient cloud architecture.
  • Scalability and Performance: Ensure the cloud infrastructure is optimized for both ML training and real-time inference, leveraging containerization with Docker and orchestration with Kubernetes (EKS) for maximum scalability and performance.
  • Cost Optimization: Implement strategies and best practices for managing and optimizing cloud resource usage to ensure a cost-effective infrastructure without compromising performance.
  • High Availability and Disaster Recovery: Design and implement robust strategies for high availability, fault tolerance, and disaster recovery to ensure the continuous operation of our critical AI systems.
  • Collaboration and Governance: Work closely with our DevOps and AI engineering teams to guide and support deployments, establish best practices for cloud usage, and ensure compliance with security and governance standards.
  • Innovation and Research: Stay at the forefront of cloud and AI technologies, continuously evaluating and adopting new services and architectural patterns to enhance our capabilities.

Requirements:

  • 2+ years of dedicated experience in a cloud architecture or senior cloud engineering role.
  • Deep expertise in a broad range of AWS services, including but not limited to EC2, S3, Lambda, and EKS.
  • Strong hands-on experience with containerization (Docker) and container orchestration (Kubernetes).
  • A thorough understanding of cloud networking, security principles, and compliance best practices.
  • Excellent system design and technical documentation skills.
  • A collaborative spirit and the ability to work effectively with cross-functional teams.

Preferred Qualifications:

  • Hands-on experience with cloud-native AI/ML services such as Amazon SageMaker or Vertex AI.
  • Familiarity with modern programming languages like Rust or Elixir for cloud tooling and automation.
  • Experience in designing and managing hybrid or multi-cloud environments.
  • Professional certifications, such as the AWS Certified Solutions Architect.

Job Type: Contractual / Temporary

Pay: ₹1,200,000.00 - ₹1,320,000.00 per year

Ability to commute/relocate:

  • Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • Will you be available for face to face interview

Experience:

  • Cloud architecture: 2 years (Required)

Work Location: In person

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