Sr. Cloud Engineer - Databricks/AI focus ( 5-9 years) Bangalore
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
We are seeking a highly skilled and experienced Senior Cloud Engineer to join our cloud engineering team in Bangalore, India. This role will focus on deploying, configuring, and optimizing Databricks platforms and applications on Google Cloud Platform and Microsoft Azure
You will play a critical role in building secure, scalable, and high-performance cloud environments, with a focus on networking, automation, and platform operations, while leveraging AI-driven capabilities to significantly enhance engineering productivity, accelerate delivery, and enable scalable operations.
Key Responsibilities
- Deploy, configure, and operate Databricks environments on either GCP, Azure, or both
- Build and support Databricks applications (notebooks, jobs, workflows, integrations)
- Design and implement cloud networking (VPCs, subnets, firewalls, private connectivity, hybrid connectivity) for Databricks and related services
- Ensure secure, reliable connectivity between Databricks, cloud services, and enterprise systems
- Design, build, and leverage AI-powered tools and assistants to improve developer productivity, streamline workflows, and reduce manual effort
- Develop AI-driven automation solutions to handle routine engineering tasks such as environment setup, configuration validation, and deployment orchestration
- Integrate AI capabilities into CI/CD, infrastructure automation, and operational workflows to increase efficiency and scalability
- Evaluate and adopt emerging AI/ML tools, frameworks, and copilots to enhance cloud engineering effectiveness
- Drive a culture of AI-assisted engineering, promoting reuse, intelligent automation, and continuous efficiency improvements
- Develop and manage Infrastructure as Code (Terraform) and automate environment provisioning
- Build and maintain CI/CD pipelines for infrastructure and Databricks deployments
- Integrate...