Senior Cloud Engineering Manager

10 hours ago

Bengaluru, Karnataka, India beBeeCloudEngineer Full time US$ 18,00,000 - US$ 20,00,000
Job Opportunity

We are seeking an experienced Senior Engineering Manager to lead the design and development of a cutting-edge platform for cloud and AI services.

In this critical role, you will drive technical strategy, build a self-serving platform that provides services and building blocks for all cloud and AI-powered applications across the organization. Your leadership will empower development teams to build, ship, and iterate on enterprise applications and AI-powered features faster and more securely.

  • Lead the architecture and development of our end-to-end cloud and AI platform engineering services.
  • Collaborate intimately with cross-functional teams to ensure seamless rollout of new AI tools and platforms, prioritizing ease of onboarding, security, and governance.
  • Work closely with engineers to deeply understand their workflows, ensuring the platform provides frictionless "golden paths" from prototyping to deployment and hassle-free post-deployment operations.
  • Build, mentor, and grow high-performing software engineering teams, fostering a culture of technical excellence, innovation, and continuous improvement.
  • Partner closely with product management, SRE, and other cross-functional teams to define roadmaps, gather requirements, and ensure seamless feature delivery.
  • Ensure the scalability, reliability, security, and performance of the platform across various deployment environments (e.g., cloud, on-premise).
  • Actively participate in roadmap discussions, technical reviews, and strategic planning, aligning technical initiatives with overall business objectives.

Key qualifications:

  • Engineering degree in computer science, applied AI, or a related technical field.
  • 12+ years of progressive experience in software engineering, with at least 8+ years in building cloud-native distributed systems, cloud platform services, AI-enabled applications, and services.
  • Deep understanding and hands-on experience with the latest AI infrastructure services and platforms, including models, vector DBs, AI frameworks, and platforms.
  • Proven expertise in solving multiple complex use cases by building AI solutions powered by RAG, agents, and agentic workflows and techniques.
  • Proven expertise in leading the design and development of large-scale, high-performance distributed systems and applications.
  • Experience working directly with customers to understand their needs, translate requirements into technical solutions, and drive adoption of intelligent systems.
  • Proficiency in relevant programming languages such as Python, Go, or similar.
  • Extensive experience with cloud platforms (AWS, Azure, GCP) and container orchestration technologies (e.g., Kubernetes).
  • Proven leadership, team-building, and mentoring skills, with a track record of attracting and retaining top engineering talent.

Additional information:

The IT Infrastructure Platform Engineering team plays a critical role in software development, focusing on scalability and adaptability of the infrastructure across the organization. Their work has sweeping effects on all infrastructure verticals, encompassing areas such as compute, network, DB, IAM, etc.

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