Talantix.io
Mistral AI•17.02.26
AI SCORE 8.5

Remote Site Reliability Engineer - AI/​ML Focus

$120K–$150K/year
RemoteAI/Cloud OperationsVisaRelocation
Cloud Computing•Kubernetes•Terraform•Python•Go•Bash•Docker•CI/CD•Monitoring•Logging

About the Role

Join Mistral AI as a Remote Site Reliability Engineer and play a pivotal role in shaping the reliability, scalability, and performance of our AI-driven platform. You will collaborate closely with software engineers and research teams to ensure our systems not only meet but exceed customer expectations.

What You'll Do

  • Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our web services and machine learning workloads.
  • Ensure our platform, inference, and model training environments are always highly available, enabling seamless replication across multiple HPC clusters.
  • Operate systems and troubleshoot issues in production environments, including on-call responses and infrastructure scaling.
  • Implement and enhance monitoring, alerting, and incident response systems to optimize performance and minimize downtime.
  • Drive continuous improvement in infrastructure automation and orchestration using tools like Kubernetes, Flux, and Terraform.
  • Collaborate with AI/ML researchers to develop solutions that enable safe and reproducible model-training experiments.
  • Document processes and procedures to ensure consistency and knowledge sharing across the team.
  • Contribute to open-source projects, research publications, and blog articles.

Requirements

  • Master’s degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in a DevOps/SRE role.
  • Strong experience with cloud computing and highly available distributed systems.
  • Hands-on experience with CI/CD, containerization, and orchestration tools (Docker, Kubernetes).
  • Proficiency in scripting languages (Python, Go, Bash) and knowledge of software development best practices.
  • Excellent problem-solving and communication skills.
  • Self-motivated and able to work well in a fast-paced startup environment.

Nice to Have

  • Experience in an AI/ML environment.
  • Experience with high-performance computing (HPC) systems and workload managers (Slurm).
  • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.

What We Offer

  • Competitive salary and equity options.
  • Health insurance coverage.
  • Transportation and sport allowances.
  • Meal vouchers and a private pension plan.
  • Generous parental leave policy.
  • Visa sponsorship available.
Why This Job8.5 of 10

This Remote Site Reliability Engineer position at Mistral AI offers a unique opportunity to work with cutting-edge AI technology in a collaborative environment. With competitive compensation and a focus on innovation, it's a great chance to make a significant impact.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Kubernetes and Terraform for building and managing container orchestration and infrastructure as code, ensuring seamless deployment and scaling of AI/ML applications.

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Strong experience with CI/CD pipelines and Docker to automate the deployment processes, allowing for rapid iteration and deployment of AI-driven features in a remote setting.

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A proactive problem-solver with a deep understanding of monitoring and logging tools, such as Prometheus and Grafana, to maintain system reliability and performance under varying loads.

Learning Resources

→Kubernetes Official Documentationguide
→Terraform on Coursera: Getting Started with Terraformcourse
→Python for DevOps - YouTube Playlistvideo

Career Path

Remote Site Reliability Engineer - AI/ML Focus(Now)→Lead Site Reliability Engineer(1-2 years)→Site Reliability Architect(3-5 years)

Market Overview

Market Size 2024
$500B
Annual Growth
16.3%
AI Adoption in Cloud
45%
Investment in Cloud Technologies
+30%
Labour Demand for SRE Roles
+25%
Avg Salary for SRE with AI/ML Focus
$150K

Skills & Requirements

Required
Cloud ComputingKubernetesTerraform
Growing in Demand
KubernetesTerraformMachine Learning Operations (MLOps)
Declining
Traditional Network AdministrationjQuery

Domain Trends

Increased Integration of AI in Cloud Services
Over 45% of organizations are adopting AI capabilities within their cloud environments to enhance automation and efficiency.
Shift Towards Multi-Cloud Strategies
By 2025, 85% of enterprises are expected to adopt a multi-cloud strategy, emphasizing the need for SREs skilled in managing diverse cloud platforms.
Focus on Security and Compliance
With 60% of data breaches linked to cloud vulnerabilities, organizations are prioritizing security measures, increasing demand for SREs with expertise in cloud security.

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