{"id":607004,"url":"https://alion.io/job/ddn-ai-infrastructure-solutions-engineer","title":"AI Infrastructure Solutions Engineer","company":{"id":672909,"name":"DDN","domain":"ddn.com","url":"https://alion.io/company/ddn","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":97,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":112000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Amazon S3","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Milvus","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"RAG","optional":false},{"name":"Triton","optional":false},{"name":"Active Directory","optional":true},{"name":"Bash","optional":true},{"name":"InfiniBand","optional":true},{"name":"Kubernetes","optional":true},{"name":"LDAP","optional":true},{"name":"Python","optional":true},{"name":"SLURM","optional":true},{"name":"TCP/IP","optional":true},{"name":"Tcpdump","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Wireshark","optional":true}],"status":"live","first_seen_at":"2026-07-15T17:37:40Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-17T13:53:17Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":93},"description":"DDN is expanding our Enterprise AI offerings to include the integration of industry leading technologies with DDN Infinia and DDN EXAScaler storage. These solutions will be optimized for inference and RAG workloads and require integration into the customer’s environment. Our support organization is deep on storage (Infinia, EXAScaler); we are now hiring an AI Infrastructure Solutions Engineer to deploy our complete AI solutions. This implementation will include NVIDIA AI Enterprise services (NIMs, NeMo, Triton, GPU Operator, licensing), vector databases (initially Milvus), RAG/agentic workflows, and the high-performance storage and networking fabric that underpins them.\nIn this role, you will either remotely or onsite in some cases deploy the DDN AI solutions and work to customize this to the end user requirements. You will work with DDN internal teams, vendors and other partners as needed to successfully deploy these solutions.\nKey Responsibilities\nServe as the primary technical point of contact for assigned strategic customers, that are deploying DDN AI solutions\n\nWork with Pre-sales to interpret design considerations during solution deployment\n\nDrive operational efficiency through automation, tooling, documentation, and repeatable deployment workflows\n\nDevelop and deploy scripts and tools to support customer environments (DevOps-focused)\n\nBe prepared to develop scripting to deploy system monitoring and other metrics based tools to integrate with customer infrastructure\n\nSupport AI/ML, data-intensive, and HPC workloads running at scale in on-prem, hybrid, and cloud-adjacent environments\n\nWork closely with customers to optimize the their AI applications to better work with DDN technology\n\nRequired Qualifications\n5+ years of experience in a senior technical role deploying complex, customer-facing production systems\n\nExperience administering and operating Lustre or similar parallel file systems in large-scale environments\n\nExperience with object storage and S3-compatible systems\n\nStrong Linux systems knowledge, including performance tuning and troubleshooting\n\nSolid understanding of distributed storage architectures, networking fundamentals, and data movement at scale\n\nProven ability to work directly with customers, communicate clearly, and build trusted technical relationships\n\nAbility to work effectively across cross-functional teams including Engineering, Product Management, Support, and Field Services\n\nPreferred Qualifications\nExperience with additional parallel file systems such as IBM Spectrum Scale or StorNext\n\nExperience developing and debugging automation using shell scripting, Python, Bash, or similar languages\n\nStrong understanding of networking technologies including InfiniBand, Ethernet, TCP/IP, and routing\n\nKnowledge of NVAIE services (e.g., NIMs, NeMo, Triton, TensorRT/TensorRT-LLM, GPU Operator, licensing/NLS) and vector databases (e.g., Milvus)\n\nFamiliarity with NAS and data transfer protocols (NFS, SMB/CIFS, SFTP, rsync, etc.)\n\nExperience with authentication and identity systems (LDAP, Active Directory, Kerberos, OAuth2/OIDC, SAML)\n\nExperience using network diagnostics and troubleshooting tools (tcpdump, Wireshark, LLDP, etc.)\n\nExposure to AI/ML infrastructure operations, GPU-accelerated environments, or large-scale data pipelines\n\nExperience with deployment and orchestration of large scale compute systems (Kubernetes, SLURM, BCM etc)\n\nExperience working in globally distributed or remote teams\n\nAdditional Information\nOccasional physical tasks related to hardware setup may be required, with appropriate tools and support\n\nWhy Join DDN\nWork on real, production-scale AI and HPC systems that power world-class innovation\n\nInfluence product direction through direct customer engagement\n\nCollaborate with highly skilled engineers across storage, networking, and distributed systems\n\nGrow your career into senior technical leadership, architecture, or product-facing roles","description_format":"text","description_chars":3948,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Servers & Data Center Hardware"],"lifecycle":[{"event":"open","at":"2026-09-10T18:00:29Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long 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