Professional Services engineer
Job description
Professional Services Engineer, London
VAST Data is looking for a Professional Services Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills and experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Location: London, UK
Summary
As a Professional Services Engineer (PSE), you will be responsible for delivering a "pristine first experience of VAST" through your technical expertise and willingness to complete onsite activities across our install base, including hardware rack, stack, cable and label, VAST software installation, cluster relocation, expansions, and the occasional break-fix request.
Combined with being highly technical, you are calm under pressure, highly communicative, detail-oriented, and able to assess and resolve unexpected issues that may arise. You are seen as the process owner for field activities, contributing your expertise to training and runbooks to enable VAST partners, as well as VAST Customer Support.
Key Responsibilities
- Install, configure, test, and troubleshoot the VAST Data solution in customer environments, ensuring it is fully operational and meets performance standards.
- Collaborate with internal teams to provide input on product development and process improvement.
- Maintain up-to-date knowledge of industry trends, emerging technologies and best practices related to AI and storage.
- Stay current and knowledgeable of the latest VAST software releases.
What You'll Bring
- 5+ years of experience in a similar technical role, with expertise in data storage technologies such as SAN, NAS, DAS, and cloud storage.
- 2+ years minimum of Linux CLI experience.
- Demonstrated experience in designing and implementing data storage solutions in complex environments.
- Familiarity with virtualization and containerization technologies, including VMware and Docker.
- Familiarity with networking, switch configuration and troubleshooting.
- Excellent analytical and problem-solving skills.
- Strong customer service skills, with the ability to work collaboratively with customers and internal teams.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Strong written and verbal communication skills.
- Ability to safely lift 30-40 kg (65-90 lbs).
- Travel: up to 75%. Must be based near a major international airport.
Skills mentioned

VAST announces a verified NPS score of 84, positioning the company as one of the most admired and trusted brands globally according to an independent third party, OCX Cognition. The company has developed the VAST Data Platform, which represents a new category of infrastructure tailored to accommodate the intricate demands of AI systems shaped by a transformative architecture. The VAST Data Platform is engineered with the intent to centralize data, allowing systems to think, react, and discover efficiently. The architecture eliminates traditional data tiering, which is typically complex and costly. Instead, VAST proposes a utilitarian solution through the VAST DataStore, which scales effortlessly without the intricacies of legacy systems. Its unified data management features allow the seamless handling of unstructured data across various applications, offering a single, robust database management system that integrates databases, data warehouses, and data lakes into one cohesive unit.
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