Site Reliability Engineer (AI Acceleration)- Hybrid

“Employment Type: W2 only

”“Work Authorization: Must be authorized to work in the U.S. without current or future sponsorship

You will be a core member of the SRE team, responsible for the reliability, automation, and observability of the infrastructure that the company runs on. You will work across colocation, on-premises lab environments, and cloud platforms — and you will own your systems end-to-end, from initial provisioning through live incident response.

You will partner with hardware and software development teams to support their workload needs, including CI/CD pipelines and automation layer and the associated CI/CD pipelines and automation layer for software toolling. You will also support customer-facing environments where partners collaborate on hardware and software deployments.

What You Will Do

Infrastructure Operations

• Own reliability and availability of assigned infrastructure domains: colo server fleets, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services.

• Perform hands-on infrastructure work: server provisioning, OS configuration, network setup, storage management, and hardware troubleshooting from bare metal up.

• Conduct capacity planning and hardware lifecycle management for assigned infrastructure domains; track and report cloud spend for your domains to support FinOps and workload placement decisions.

Automation & Infrastructure as Code

• Own IaC and configuration management (Terraform, Ansible) for your infrastructure domains — all provisioning and changes through code, not manual steps.

• Build, deploy and document automation to eliminate toil: host lifecycle management, fleet health checks, auto-remediation workflows, and self-service tooling for engineering teams.

• Develop networking automations for cluster interconnects, VLAN management, and lab network configurations.

• Contribute to shared IaC modules and automation libraries used across the global SRE and data center services teams.

Observability & Incident Response

• Design and maintain monitoring dashboards, alerting, and SLIs (Prometheus/Grafana, DataDog) for your infrastructure domains — ensuring signal quality, actionable alerts, and contributing to AIOps-driven detection workflows that reduce time to detect and respond.

• Participate in on-call rotation; triage and resolve incidents from bare metal to application layer using structured, AI-assisted workflows — distinguishing infrastructure faults from software or hardware product issues and escalating with clear context.

• Produce high-quality RCA reports for P0/P1 incidents with root cause analysis and tracked action items.

• Detect performance issues, recommend solutions, and implement fixes that permanently improve system reliability.

Customer & Platform Development Services

• Support and operate platform services used by both internal teams and external customers for hardware and software deployment collaboration with d-Matrix.

• Ensure QoS and uptime commitments for customer-facing environments; escalate reliability risks proactively.

• Document platform configurations, access procedures, and operational runbooks for customer environments.

Documentation & Collaboration

• Maintain high-quality runbooks, architecture diagrams, and troubleshooting guides — documentation is part of the job, not an afterthought.

• Partner with the DevOps team to ensure infrastructure reliability supports CI/CD pipeline performance and developer experience.

• Serve as a technical resource for engineering teams — sharing operational knowledge and raising infrastructure risks early.

What You Will Bring

Required

• Bachelor's or Master's in Computer Science, Electrical Engineering, or related field (or equivalent experience); 5+ years in SRE, infrastructure engineering, or systems administration.

• Strong Linux systems knowledge: networking, storage, systemd, package management, kernel parameters, and performance diagnostics.

• Hands-on experience with colocation or on-premises server infrastructure — physical hardware, rack networking, and bare-metal provisioning.

• Hands-on experience deploying and operating AI-driven infrastructure tools — AIOps platforms, intelligent alerting, anomaly detection, or LLM-assisted diagnostics — in production environments.

• IaC experience with Terraform and/or Ansible — writing and maintaining production configurations, not just running existing playbooks.

• Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networking.

• Prometheus + Grafana or DataDog: building dashboards, writing alert rules, and understanding signal quality.

• Python and/or Bash scripting: production-quality automation, not just one-off scripts.

• Incident response experience: structured triage, RCA production, and follow-through on action items.

• Comfort operating in fast-moving startups: you own your systems, document what you build, and iterate without waiting for perfect requirements.

Strongly Preferred

• Experience operating customer-facing infrastructure or platform services with external reliability expectations.

• Cloud infrastructure operations across AWS, Azure, or GCP — including hybrid environments spanning cloud and on-prem.

• HPC job scheduler experience: Slurm, LSF, or equivalent — operations and troubleshooting.

• Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink — configuration and troubleshooting.

• Experience 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