{"id":559516,"url":"https://alion.io/job/firmus-technologies-site-reliability-engineer-ai-infrastructure","title":"Site Reliability Engineer, AI Infrastructure","company":{"id":63306,"name":"Firmus Technologies","domain":"firmus.ai","url":"https://alion.io/company/firmus-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"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":"explicit","locations":["Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":198000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-04-08T11:46:39Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-02T18:59:43Z","board_verified":true,"closed_at":null,"days_open":208,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":208},"description":"Firmus Technologies\nFirmus Technologies is a global leaderpioneering the development and operation of efficient AI infrastructure across Asia Pacific. \nFounded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. \nAt Firmus, we are unique in our approach. We design, build, and operatea new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. \nFirmus AI Cloud\nOur large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. \nIt empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. \n\nWhy you’ll love working here \nAs an NVIDIA Cloud and Engineering partner in Asia Pacific, you will gain skills, experience,and exposure across the AI industry and be part of shaping what this industry looks like for decades to come. \nWe are founder-led, not a big corporate. Decisions happen fast, our leaders are accessible, and there's minimum bureaucracy between you and the work. \nOwnership comes early. Whatever your role, you will have a direct line to outcomes, helping shape how the business grows as we scale nationally across a long-term, large-scale roadmap. \nWork alongside founders and experts in AI infrastructure, energy systems and next-generation compute. \nWhat we build here has impact beyond the business. Our AI Factories are designed to operate as assets to the energy grid to actively strengthen the communities and regions they operate in \nrather than drawing from them. \nConsidering applying? You don't need a perfect background to join our team. If you're driven and curious, there's a path for you. We back our people to grow into new domains and take on challenges beyond their previous experience. \nROLE SUMMARY \nFirmus Technologies is seeking a skilled Site Reliability Engineer, AI Infrastructure to join our Operations team, supporting the daily operations and maintenance of our AI-accelerated high-performance computing (HPC) infrastructure. This role will work closely with Field Service Engineers, HPC and Network Engineering teams, and assist the Global Operations Centre (GOC). This is a unique opportunity to contribute directly to the stability and growth of cutting-edge AI infrastructure. \nKEY RESPONSIBILITIES \nSupport in the deployment, configuration, and maintenance of various high-end GPU servers, storage servers, networking equipment and software components in highly secure environments. \nPerform hardware diagnostics, systems functionality and firmware updates as required. \nCollaborate with engineering teams to assist in tailored customer environments deployment (eg: bare-metal systems, HPC Clusters, Kubernetes, Slurm etc). \nServe as first line of engineering support for onsite operational issues, including troubleshooting hardware, network and software problems, and firmware compliance. \nTroubleshoot incidents, escalate critical issues and provide feedback to appropriate teams for improvements. \nParticipate in an on-call rotation to ensure 24/7 availability and responsiveness to critical issues. \nProvide technical support to the GOC Support Specialist team in troubleshooting compute infrastructure related problems. \nDocument incident details, resolutions, and lessons learned to enhance future problem-solving. \nMaintain clear, accurate, and up-to-date documentation to promote effective knowledge sharing across the team. \nCommunicate effectively with GOC, HPC Engineers, internal teams, stakeholders, and end-users to ensure alignment on issue resolution. \nTake part in team meetings and knowledge-sharing sessions to foster collaboration and continuous learning. \nSKILLS AND EXPERIENCE \nBachelor’s degree in computer engineering, computer science, or a related technical field. \n5+ years of experience in field service technical areas. \nStrong understanding of server hardware technology, firmware lifecycle, Linux environments and troubleshooting hardware problems, with adherence to physical and system-level security standards. \nExperience with scripting languages (eg: Bash, Python) \nFamiliarity with using configuration management, CICD tools, workload manager and cluster softwares (eg: Slurm, Kubernetes, Nvidia BCM) and Observability tools (eg: Prometheus, Grafana, ELK, etc) \nExcellent problem-solving and analytical skills. \nAbility to work independently and as part of a team. \nStrong communication skills, both written and verbal. \nLocation\nThis role is based in Brooklyn, Melbourne, Australia. \nEmployment Basis\nFull-time","description_format":"text","description_chars":5128,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Australia","iso":"AU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","AI Compute & 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