Staff Product Support Engineer - Cloud Support

Bengaluru · 10+ years experience · Full-time · Hybrid · Posted Oct 13, 2026

At a glance

As a Staff Product Support Engineer / Product Specialist (Cloud Support SME) at Acceldata, you will take on a pivotal role with higher accountability in swiftly resolving complex customer challenges in two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
You will focus on delivering faster resolutions and ensuring seamless operations resolution, enabling customers to monitor, predict, and optimize their data systems for impactful business outcomes.

Manage support cases, troubleshoot intricate technical issues, and provide proactive solutions that empower organizations to maximize their data infrastructure.
Interact directly with customers to provide operations expertise by leveraging deep knowledge and best practices in Data Quality, Cost Optimization, and Data Reliability in relation to the Acceldata Platform.
Work with customers to understand their use cases, identify pain points, and deliver tailored solutions within the agreed service levels.
Collaborate across internal teams to solve complex technical problems and continually improve support processes.
Ensure seamless support operations for Gold and Enterprise customers.

10+ years of related experience in customer-facing support, post-sales, technical architecture, or consulting roles, with a focus on Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one and Data Lakes.
Proficient in cloud platforms such as AWS, GCP, and Azure, as well as Kubernetes, Docker.
Expertise in Linux distributions such as RHEL, Ubuntu, and SUSE.
Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts clearly.
Ability to handle situations calmly, bring a structured approach to problem-solving, and demonstrate tenacity, combined with a deep technical understanding and empathy for the customer’s situation.

Must be comfortable supporting operations in a 24/7 environment and be willing to adjust working hours accordingly.