Senior Infrastructure Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $98k - $150k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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👻 Ghost score 3%

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d-Matrix

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏭 Manufacturing

🤖 Artificial Intelligence

💰 $110M Series B on 2023-09

Consulting • Manufacturing • Artificial Intelligence

d-Matrix is building a new way of doing datacenter AI inferencing using in-memory computing (IMC) techniques with chiplet level scale-out interconnects. Founded in 2019, d-Matrix has attacked the physics of memory-compute integration using innovative circuit techniques, ML tools, software and algorithms; solving the memory-compute integration problem, which is the final frontier in AI compute efficiency.

📋 Description

• Own first response and resolution for issues across Kubernetes clusters, GitLab and CI runners, VMs, standalone systems, and demo environments • Triage across teams with IT and the product software group when the root cause sits on their side • Convert recurring issues into automation, alerts, and runbooks • Improve monitoring and alerting to reduce false alarms and speed detection of real problems • Perform upgrades, patching, certificate renewals, and capacity checks • Ship automation and infrastructure improvements • Participate in on-call coverage • Contribute to design and build work across the team’s systems • Diagnose and fix infrastructure issues end to end, escalating to IT or product software when appropriate

🎯 Requirements

• 2+ years operating production Linux systems, including hands-on Kubernetes troubleshooting • Methodical debugging skills across system layers • Scripting experience in Python and/or Bash • Familiarity with CI/CD systems, preferably GitLab • Working knowledge of DNS, routing, load balancing, and TLS • Experience with monitoring and observability tools • Clear communication under pressure, including concise incident status updates • Drive and curiosity to learn unfamiliar systems and inference systems • Preferred: Experience with GPU or accelerator nodes in Kubernetes • Preferred: Experience with Ansible or Terraform • Preferred: Experience with DataDog, Prometheus, or Grafana • Preferred: Bare metal or on-prem infrastructure experience • Preferred: CKA or CKAD certification • Must be legally authorized to work in the United States • Must answer whether immigration-related employment benefit sponsorship is required

🏖️ Benefits

• Equity • Bonus • Medical insurance • Dental insurance • Vision insurance • 401(k) • Incentive opportunities based on individual and company performance • Inclusive rewards plan supporting employee wellbeing and loved ones