{"id":1232864,"url":"https://alion.io/job/singtel-network-engineer-gpuaas","title":"Network Engineer, GPUaaS","company":{"id":49912,"name":"Singtel","domain":"singtel.com","url":"https://alion.io/company/singtel","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Networking","role_family":"Networking","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":80000,"period":"year","method":"role_country_seniority_unknown","sample_n":32},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"BGP","optional":false},{"name":"CI/CD","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Proxmox VE","optional":false},{"name":"Python","optional":false},{"name":"Red Hat","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TCP/IP","optional":false},{"name":"Ubuntu","optional":false},{"name":"Zabbix","optional":false}],"status":"live","first_seen_at":"2026-09-19T16:00:00Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-10-01T16:30:02Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"About Singtel Digital InfraCo - RE:AI\nSingtel Digital InfraCo’s RE:AI division is building Asia’s most advanced and sustainable AI infrastructure ecosystem. RE:AI enables enterprises, research institutions, and digital-native businesses to accelerate innovation through responsible, high-performance AI compute and connectivity solutions.\nSingtel’s state-of-the-art GPU-as-a-Service (GPUaaS) data centre networking infrastructure. You will support customers running AI and high-performance computing (HPC) workloads on large-scale distributed GPU clusters. This role offers opportunities to build and deepen expertise in AI data-centre networking and HPC cloud platforms within a highly collaborative and performance-driven environment.\nMake an Impact By\nProvide operational support for GPU infrastructure services to meet customer expectations within defined SLAs, including preventive measures to minimise downtime.\nProvide technical network support and guidance to users of GPU-accelerated systems.\nMonitor, troubleshoot, and enhance network performance in GPUaaS platforms, including introducing automation to detect and resolve network issues.\nManage relationships and expectations with internal and external stakeholders.\nDesign, develop, and operate high-performance networking solutions for AI and GPU-as-a-Service (GPUaaS) platforms.\nCollaborate on network security initiatives and implementing cybersecurity best practices aligned with industry standards and certifications.\nCoordinate with cross-functional teams to deliver network solutions efficiently and within agreed timelines.\nPrepare and presenting technical reports, including network optimisation plans, outage reports, and SLA reports for management and customers.\nContribute to the design of tailored high-performance network solutions for AI and GPU cloud computing environments.\nConduct high-performance network benchmarking and staying informed on advancements in networking and GPU technologies.\nParticipate in scheduled or on-call support outside standard working hours, including nights, weekends, or public holidays, as required.\nSkills for Success\nDiploma/Degree or equivalent qualification in Computer Science, Information Technology, Network Engineering, or a related discipline; relevant networking and Linux certifications are advantageous.\nStrong understanding of networking fundamentals including TCP/IP, VLANs, and subnetting.\nExperience deploying and troubleshooting advanced routing protocols and network architectures such as VXLAN, EVPN, and BGP.\nExperience with network operating systems and platforms such as Cumulus, Arista, Ubuntu, Proxmox, and Red Hat.\nHands-on experience with network monitoring, automation, and configuration tools (e.g. Zabbix, NetBox, Ansible, Python scripting, CI/CD pipelines).\nCustomer-focused mindset with strong collaboration and stakeholder management skills.\nEffective verbal, written, and presentation skills in English.\nStrong analytical, problem-solving skills and ability to work independently while contributing to team objectives.\nDesirable Qualifications\nExperience with Linux systems, hypervisors, storage technologies (e.g. NFS, object storage), and infrastructure-as-code practices.\nUnderstanding of how AI and HPC workloads interact with high-performance networking infrastructure.\nSystem-level experience with GPU-accelerated networking environments.\nUnderstanding of cloud architectures (IaaS, PaaS), GPU architecture, and NVIDIA GPU platforms.\nYour Career Growth Starts Here. Apply Now!","description_format":"text","description_chars":3524,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecommunications","Broadband"],"lifecycle":[{"event":"open","at":"2026-09-25T15:25:06Z"}],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.669,"p_room":0.75,"age_days":11,"expected_fill_days":14,"reasons":["conf:0","velocity","win:late","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/singtel-network-engineer-gpuaas","json_url":"https://alion.io/job/singtel-network-engineer-gpuaas.json","meta":{"generated_at":"2026-10-01T18:23:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":721,"day_limit":5000,"remaining_today":4279,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}