Staff Product Support Engineer - Cloud Support

As a Staff Product Support Engineer / Product Specialist (Cloud Support SME) at Acceldata, you will play a pivotal role in resolving complex customer challenges across multiple Cloud ecosystems (AWS, Azure, GCP), with expertise in at least one. You will focus on delivering faster resolutions and ensuring seamless operations, enabling customers to monitor, predict, and optimize their data systems. This role involves managing support cases, troubleshooting intricate technical issues, and providing proactive solutions, contributing to customer success and Acceldata's data observability evolution.

Must Have

• 10+ years of experience in customer-facing support, technical architecture, or consulting roles.
• Expertise in Cloud ecosystems (AWS, Azure, GCP) and Data Lakes.
• Proficiency in Kubernetes, Docker, and Linux distributions (RHEL, Ubuntu, SUSE).
• Ability to work with customers to understand use cases and deliver tailored solutions.
• Excellent written and verbal communication skills.
• Deep knowledge of Data Quality, Cost Optimization, and Data Reliability in Acceldata Platform.
• Ability to handle situations calmly and apply a structured approach to problem-solving.

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.

If you’re passionate about working in fast-paced, dynamic environments and want to be part of the cutting edge of data solutions, this role is for you.

What makes you the right fit for this position?

• Experience: 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.
• Cloud & Data Management: Proficient in cloud platforms such as AWS, GCP, and Azure, as well as Kubernetes, Docker, Additionally, expertise in Linux distributions such as RHEL, Ubuntu, and SUSE, ensuring comprehensive Cloud & Data Management capabilities.
• Collaboration: Willingness to work with customers to understand their use cases, identify pain points, and deliver tailored solutions within the agreed service levels.
• Soft Skills: Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts clearly.
• Technical Aptitude: You’ll interact directly with our customers to provide operations expertise by leveraging deep knowledge and best practices in Data Quality, Cost Optimization, and Data Reliability in relation to our broader Acceldata Platform.
• Empathy & Calm Under Pressure: 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.

What is it like to work at Acceldata ADOC team as Staff Product Support Engineer?

• As a trusted partner, you’ll manage support cases, troubleshoot intricate technical issues, and provide proactive solutions that empower organizations to maximize their data infrastructure. Your contributions will have a lasting impact on our customers' success and Acceldata's evolution of data observability.
• You’ll work with some of the most innovative minds in data observability, collaborating across internal teams to solve complex technical problems and continually improve our support processes. This role provides invaluable experience in managing distributed, scalable environments and real-world customer issues. You’ll be given the freedom and responsibility to ensure seamless support operations for Gold and Enterprise customers, gaining deep insights into various industries and use cases.
• You will work on a complex cloud-native platform in keeping stable, fast, and reliable for enterprise customers.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.