{"id":1643099,"url":"https://alion.io/job/weka-designated-services-engineer-remote-taiwan","title":"Designated Services Engineer (Remote Taiwan)","company":{"id":63304,"name":"WEKA","domain":"weka.io","url":"https://alion.io/company/weka","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":23,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":34000,"period":"year","method":"role_country_seniority_unknown","sample_n":55},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Bash","optional":false},{"name":"Grafana","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Unix","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Confluence","optional":true},{"name":"GCP","optional":true},{"name":"HPC","optional":true},{"name":"Kubernetes","optional":true},{"name":"Slack","optional":true}],"status":"live","first_seen_at":"2026-09-10T02:35:21Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-13T04:09:33Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Designated Services Engineer\nWEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.\nWEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.\nLocation: Must currently reside in Taiwan.\nWhat you'll be doing:\nAs a Senior Designated Services Engineer, you will play a key role in ensuring WEKA's Customer Success, contributing to our five-star Gartner reviews. \nYou will work with cutting-edge technologies and top-tier customers, providing technical expertise and strengthening customer relationships. \nCollaborating closely with Account Teams, you will gain deep insight into customers' business requirements, technical needs, and system environments. \nYour role involves resolving technical issues, bridging gaps between customers and Engineering, and ensuring the highest level of service.\nAs a Senior Designated Services Engineer, you’ll:\nServe as the primary technical liaison between customers and Engineering to address feature gaps, reliability concerns, and documentation improvements.\nTroubleshoot and resolve technical issues, escalating to Engineering when necessary.\nProvide feedback to Engineering to enhance product supportability, usability, and serviceability.\nSupport pre-sales engineers, partners, and resellers with technical expertise.\nProactively monitor WEKA systems using remote monitoring tools to identify and address potential issues.\nOwn, track, and document customer issues via the ticketing system.\nCommunicate clearly and professionally with customers, partners, and internal teams.\nContribute to knowledge-sharing through internal and customer-facing documentation (FAQs, KB articles).\nManage multiple projects and support cases concurrently.\nAdvocate for customer concerns and represent WEKA externally.\nDevelop subject matter expertise in WEKA and customer technologies.\nParticipate in on-call, follow-the-sun support rotations as needed.\nAvailability for alternative work hours (nights, weekends, holidays) and potential regional/international travel.\nRequirements:\n10+ years in customer-facing technical roles, solving complex enterprise infrastructure issues.\nAbility to diagnose hardware failures, network congestion, and performance bottlenecks.\nEnterprise infrastructure L3 or higher support experience (Linux-based storage, networking, virtualization, cloud, etc.).\nStrong technical troubleshooting in multi-platform, distributed environments.\nStrong understanding of distributed storage systems.\nExpertise in Linux/Unix administration.\nDeep understanding of networking (Infiniband, Ethernet, DPDK, UCX), cloud computing, and distributed storage.\nProficiency in Python, Bash, and experience with automation scripting for system monitoring and troubleshooting.\nKnowledge of POSIX, NFS, S3 protocols, log management, and monitoring tools (Prometheus, Grafana).\nProficiency in written and verbal English and Mandarin\nIt's nice if you have:\nExperience with JIRA, Confluence, Slack, and other collaboration tools.\nExperience collaborating between customer support and product development teams.\nFamiliarity with Kubernetes, Containers, LXC, and cloud platforms (AWS, Azure, OCI, GCP).\nPrior experience managing large-scale HPC clusters.\nStrong technical writing skills and a creative approach to problem-solving.","description_format":"text","description_chars":4210,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Taiwan","iso":"TW","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-01T22:41:05Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long 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