{"id":1509774,"url":"https://alion.io/job/d-matrix-sr-staff-site-reliability-engineer-ai-infrastructure","title":"Sr Staff Site Reliability Engineer, AI Infrastructure","company":{"id":8215,"name":"d-Matrix","domain":"d-matrix.ai","url":"https://alion.io/company/d-matrix","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":87,"open_postings":6,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-10-22T06:10:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":265000,"currency":"USD","period":"year","gross":null,"usd_annual":265000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","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":"SLI/SLO/SLA","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"InfiniBand","optional":true},{"name":"LLM","optional":true},{"name":"NVLink","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-09-29T23:50:04Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-23T04:38:55Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.\nWe value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.\nRole Overview\nd-Matrix's SRE team owns the infrastructure layer that every engineering team and customer depends on - colocation facilities, on-premises GPU clusters, cloud environments, and the platform services used to deploy and validate d-Matrix hardware and software. This role is a core member of that team, responsible for reliability, automation, and observability across colo, on-premises lab, and cloud environments. You will own systems end-to-end, from provisioning through live incident response, partnering with hardware and software teams on CI/CD, QA, and HPC workloads for silicon development, as well as supporting customer-facing environments where d-Matrix partners collaborate on deployments. This is hands-on, high-ownership work: you'll build and operate real infrastructure, not manage tickets.\nWhat You Will Do\nOwn reliability and availability across colo server fleets, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services.\n\nPerform hands-on infrastructure work - server provisioning, OS configuration, networking, storage, and hardware troubleshooting - from bare metal through auto-scaling Kubernetes environments.\n\nLead capacity planning and hardware lifecycle management for your domains, and track cloud spend to support FinOps and workload placement decisions.\n\nDrive all provisioning, deployment, and operational changes through Terraform and/or Ansible rather than manual steps, and contribute to shared IaC modules used across the global SRE and data center services teams.\n\nBuild and document automation that eliminates toil - host lifecycle management, fleet health checks, auto-remediation, self-service tooling, and networking automation for cluster interconnects and lab configurations.\n\nDesign and maintain monitoring, alerting, and SLIs (Prometheus/Grafana, DataDog, Splunk, or equivalent), contributing to AIOps-driven detection workflows.\n\nParticipate in on-call rotation, triaging and resolving incidents from bare metal to application layer, and produce high-quality RCAs for P0/P1 incidents.\n\nSupport platform services used by internal teams and external customers, ensuring QoS and uptime commitments and documenting operational runbooks.\n\nWhat You Will Bring\nBachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 7+ years in SRE, infrastructure engineering, or systems administration.\n\nStrong Linux systems knowledge with hands-on colocation or on-premises server infrastructure - networking, storage, systemd, kernel parameters, performance diagnostics, physical hardware, rack networking, and bare-metal provisioning.\n\nProduction IaC experience with Terraform and/or Ansible - writing and maintaining configurations, not just running existing playbooks.\n\nKubernetes operational experience: cluster troubleshooting, workload management, storage, and networking.\n\nExperience with observability tooling - Prometheus/Grafana, DataDog, Splunk, or equivalent - including building dashboards and writing alert rules.\n\nProduction-quality Python and/or Bash scripting, paired with incident response experience: structured triage, RCA production, and follow-through on action items.\n\nPreferred Qualifications\nExperience operating customer-facing infrastructure or platform services with external reliability expectations.\n\nCloud infrastructure operations across AWS, Azure, or GCP, including hybrid environments spanning cloud and on-prem.\n\nExperience deploying and operating AI-driven infrastructure tools - AIOps platforms, intelligent alerting, anomaly detection, or LLM-assisted diagnostics - in production.\n\nHPC job scheduler experience: Slurm, LSF, or equivalent.\n\nKnowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink.\n\nExperience with large-scale infrastructure automation - host lifecycle management, fleet auto-healing, or AIOps-driven operations - building tooling that reduces manual intervention, not just running it.\n\nEqual Opportunity Employment Policy\nd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.\nd-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.","description_format":"text","description_chars":5673,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","AI Compute & Inference","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-30T07:28:07Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2 · green card filings: 1","filings_12m":2,"filings_prev_12m":24,"green_card_filings_12m":1,"median_offered_wage_usd":184167,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":22,"expected_fill_days":83,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":265000,"is_top_pay":true},"html_url":"https://alion.io/job/d-matrix-sr-staff-site-reliability-engineer-ai-infrastructure","json_url":"https://alion.io/job/d-matrix-sr-staff-site-reliability-engineer-ai-infrastructure.json","meta":{"generated_at":"2026-10-23T05:13:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8613,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8215},"rest":"https://alion.io/mcp/rest/get_company?id=8215"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fd-matrix-sr-staff-site-reliability-engineer-ai-infrastructure"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fd-matrix-sr-staff-site-reliability-engineer-ai-infrastructure"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fd-matrix-sr-staff-site-reliability-engineer-ai-infrastructure"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/d-matrix-sr-staff-site-reliability-engineer-ai-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fd-matrix-sr-staff-site-reliability-engineer-ai-infrastructure"}]}