Sr. Cloud Engineer - Databricks/AI focus ( 5-9 years) Bangalore

Company Description

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.

Job 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 is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here.

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.

Based on our experience, we anticipate that the application deadline will be 03/04/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.

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