Senior Systems Engineer - Cloud, SRE & Automation

Matrice AI

United States

Remote

USD 130,000 - 180,000

Full time

2 days ago
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Job summary

Matrice AI is seeking a Principal Systems Engineer to architect and operate the distributed infrastructure behind video processing, ML inference, and real-time data workloads. You will focus on reliability, performance, automation, and recovery while partnering with ML engineers and guiding engineering practices team-wide.

Responsibilities include designing scalable cloud infrastructure, optimizing video and streaming workloads, building observability, and leading CI/CD and IaC initiatives.

Qualifications

  • Requires at least three years in systems engineering, DevOps, or SRE building distributed systems.
  • Experience with Go or another systems language and MongoDB.
  • Strong cloud knowledge across AWS, GCP, or Azure.
  • Advanced Docker and Kubernetes skills, plus CI/CD pipelines and IaC with Terraform or CloudFormation.
  • Deep understanding of distributed systems, microservices, and system design.
  • Strong Linux, networking, security, performance, and observability skills; able to lead technical discussions and mentor others.
  • Bachelor's degree in computer science, engineering, or related field, or equivalent experience.

Responsibilities

  • Design and maintain scalable, fault-tolerant systems and cloud infrastructure.
  • Optimize infrastructure for video processing, inference pipelines, and streaming data workloads.
  • Build monitoring, observability, and alerting for reliable operations.
  • Lead infrastructure automation, CI/CD, and infrastructure as code initiatives.
  • Develop backup, disaster recovery, and high availability solutions.
  • Investigate complex incidents, identify root causes, implement preventive improvements, and mentor engineers.

Skills

Go
Kubernetes
Cloud platforms
CI/CD
Terraform
CloudFormation
MongoDB
Docker
Linux
Distributed systems

Education

Bachelor's degree in CS/Engineering

Tools

Terraform
CloudFormation
MongoDB
Docker
Kubernetes
AWS
GCP
Azure

Job description

Matrice AI is seeking a Principal Systems Engineer to architect and operate the distributed infrastructure behind video processing, ML inference, and real-time data workloads. You will focus on reliability, performance, automation, and recovery while partnering with ML engineers and guiding engineering practices team-wide.

Responsibilities include designing scalable cloud infrastructure, optimizing video and streaming workloads, building observability, and leading CI/CD and IaC initiatives.

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