Contract Lead, Site Reliability Engineering

Responsibilities

• Build and lead the SRE function from the ground up, defining the team charter and establishing SRE as a discipline
• Hire, develop, and retain a team of 3–5 SRE engineers
• Define the technical roadmap for reliability architecture, automation, and capacity planning
• Serve as the senior technical escalation point for critical incidents and drive Root Cause Analysis (RCA)
• Own 24/7 reliability across colocation, on-premises lab clusters, cloud (AWS, Azure, GCP), and customer-facing services
• Establish observability stacks using Prometheus, Grafana, or Datadog
• Manage FinOps and capacity planning across all infrastructure tiers
• Drive Infrastructure as Code (IaC) using Terraform and Ansible
• Direct a dedicated data center and lab technician team

Requirements

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or a related field
• 15+ years in SRE, infrastructure engineering, or production engineering
• 5+ years leading SRE or infrastructure engineering teams
• Proven track record of establishing SRE disciplines in organizations lacking them
• Deep Linux systems expertise including networking (TCP/IP, RDMA) and kernel tuning
• Hands-on experience with enterprise shared storage platforms (NAS/SAN, NFS/SMB)
• Experience operating colocation and on-premises hardware at scale
• Proficiency in Terraform and Ansible at production scale
• Experience with Kubernetes cluster operations
• Strong Python and/or Go programming skills
• Ability to operate in high-ambiguity, low-process environments

Preferred Qualifications

• Experience operating customer-facing platform services
• Knowledge of high-speed interconnect fabrics like InfiniBand, RoCE, or NVLink
• Experience with HPC job schedulers such as Slurm or LSF
• Multi-cloud hybrid operations experience (AWS, Azure, GCP)
• FinOps expertise including TCO modeling
• ITIL knowledge or equivalent structured management frameworks

About the Company

d-Matrix designs and manufactures purpose-built AI inference silicon. The company is at the forefront of software and hardware innovation, pushing the boundaries of generative AI.