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.
Description
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.
Qualifications
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 Databricks with enterprise data platforms and cloud services (e.g., GCP Storage, BigQuery, Pub/Sub)
Monitor, troubleshoot, and resolve networking, platform, and deployment issues
Enforce security, governance, and cost controls across cloud environments
Collaborate with platform, data, and security teams; mentor junior engineers and contribute to best practices
Required
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field
7-10+ years of total experience, including 5-7 years in cloud engineering
Strong hands-on experience with either GCP, Azure, or both
Proven experience with Databricks deployment and operations
Hands-on experience building or leveraging AI-based tools to improve engineering productivity and automate workflows
Experience integrating AI capabilities into DevOps, platform engineering, or cloud operations processes
Deep understanding of cloud networking and hybrid connectivity
Experience with containers and Kubernetes (GKE / AKS)
Strong experience with Terraform (IaC), CI/CD pipelines, and automation
Proficiency in Python, Bash, or PowerShell
Preferred
Qualifications
GCP, Azure, or Databricks certifications
Experience working in Agile/Scrum environments
Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Work arrangement
No