Leading Cloud Architecture Development

4 days ago

Bengaluru, Karnataka, India beBeeCloud Full time ₹ 18,50,000 - ₹ 25,10,000

Cloud Architect Opportunity

We are seeking an experienced cloud architect to lead the design and development of a highly scalable, cloud-native SaaS platform. This role offers the opportunity to drive innovation, mentor teams, and influence the future of cloud platforms.

Key Responsibilities:
  • Lead the design and implementation of a Cloud Management Platform ensuring scalability, reliability, and performance.
  • Define system architecture and collaborate with cross-functional teams on innovative solutions.
  • Build and maintain cloud-native services leveraging AWS and other cloud technologies.
  • Serve as a technical mentor, fostering collaboration, learning, and engineering excellence.
  • Drive the adoption of best practices, design patterns, and emerging cloud technologies.
  • Lead and participate in code reviews, design reviews, and technical documentation.
  • Ensure delivery of high-quality software through effective development methodologies (TDD/BDD).
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Requirements:
  • 5+ years of experience in software development, with strong focus on SaaS platforms and AWS.
  • Expertise in serverless architecture, event-driven design, distributed systems, and event streams.
  • Proven experience designing and shipping low-latency, high-performance APIs.
  • Strong programming skills in Python, Java, or Go.
  • Hands-on with Kafka, Kinesis, OpenSearch/ElasticSearch, Azure Streams.
  • Experience with infrastructure as code (Terraform, CloudFormation).
  • Leadership experience with ability to mentor and guide engineering teams.
  • Excellent written and verbal communication skills.
What We Offer:
  • Opportunity to lead architecture and design for a next-gen SaaS cloud platform.
  • Work with cutting-edge AWS, serverless, event-driven, and distributed systems.
  • A fast-paced, innovation-driven environment with strong technical leadership exposure.
Good to Have:
  • Experience with AI/ML systems and familiarity with Large Language Models.
  • Knowledge of Docker, Kubernetes, and container orchestration.

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