8 дней назад
Professional Services Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Professional Services Engineer (AI infrastructure/storage): Installing, configuring, testing, and troubleshooting enterprise data-storage solutions in customer environments with an accent on Linux, networking, virtualization, and containerization. Focus on performing onsite hardware and software deployments, resolving complex infrastructure issues, and supporting cluster expansions and relocations across customer sites.
Location: London, UK; requires onsite customer activities, up to 75% travel, and being based near a major international airport.
Company
Enterprise data platform company building infrastructure for large-scale datasets, real-time analytics, and AI training and inference across data centers, edge, and cloud.
What you will do
- Install, configure, test, and troubleshoot data-storage solutions in customer environments.
- Perform onsite hardware rack, stack, cabling, labeling, software installation, cluster relocation, expansions, and occasional break-fix work.
- Ensure customer deployments are fully operational and meet performance standards.
- Collaborate with internal teams on product development and process improvements.
- Contribute technical expertise to training materials and runbooks for partners and customer support.
- Keep current with AI, storage, industry trends, and software releases.
Requirements
- 5+ years of experience in a similar technical role.
- Expertise with data-storage technologies, including SAN, NAS, DAS, and cloud storage.
- At least 2 years of Linux CLI experience.
- Experience designing and implementing storage solutions in complex environments.
- Familiarity with VMware, Docker, networking, switch configuration, and troubleshooting.
- Strong analytical, problem-solving, customer-service, communication, and prioritization skills; ability to safely lift 30–40 kg.
Culture & Benefits
- Customer-first environment focused on technical quality and innovation.
- Onsite customer work with up to 75% travel.
- Opportunity to contribute to AI and enterprise infrastructure deployments.
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