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Mistral AI

Site Reliability Engineer

Mistral AI

. Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures for web services and ML workloads .

Posted 10/26/2026full-timeNew York City • New York • United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable, fault-tolerant infrastructures for web services and machine learning workloads, with a strong focus on CI/CD, containerization, and orchestration. Proficient in troubleshooting production issues and ensuring high availability across distributed systems.

Highest-signal resume keywords
DevOps/SRE ExperienceCloud Computing ExpertiseCI/CD ImplementationKubernetes ProficiencyInfrastructure Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonGoBashDockerKubernetesTerraformPrometheusGrafanaELK StackDatadog
Soft Skills
Problem-SolvingCommunicationSelf-Motivated
Tools & Technologies
CI/CD ToolsContainerization ToolsOrchestration ToolsMonitoring ToolsLogging Tools
Certifications & Qualifications
Master’s Degree in Computer ScienceMaster’s Degree in Engineering
Industry Keywords
High-Performance ComputingAI/ML EnvironmentSite Reliability EngineeringInfrastructure SecurityObservability

Tech Stack

Tools & technologies
CloudDistributed SystemsDockerFluxGrafanaKubernetesPrometheusPythonTerraformGo

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures for web services and ML workloads
  • Ensure platform, inference, and model-training environments remain highly available and support seamless replication across HPC clusters
  • Operate systems and troubleshoot production issues, including interrupts, on-call responses, user administration, data extraction, and infrastructure scaling
  • Implement and improve monitoring, alerting, and incident response systems
  • Implement and maintain CI/CD, containerization, orchestration, monitoring, logging, and alerting workflows and tools
  • Participate occasionally in on-call rotations and perform root cause analysis
  • Improve infrastructure automation, deployment, and orchestration using Kubernetes, Flux, and Terraform
  • Collaborate with AI/ML researchers on safe and reproducible model-training experiments
  • Build a cloud-agnostic platform providing an abstraction layer between science and infrastructure
  • Develop workflows and tooling to improve system reliability, availability, and performance
  • Collaborate with the security team on infrastructure security and compliance
  • Document processes and procedures for consistency and knowledge sharing
  • Contribute to open-source projects, research publications, blog articles, and conferences

Requirements

What you’ll need
  • 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
  • Exposure to site reliability issues in critical environments, including root cause analysis, in-production troubleshooting, and on-call rotations
  • Experience working against reliability KPIs, including observability, alerting, and SLAs
  • Hands-on experience with CI/CD, containerization, and orchestration tools such as Docker and Kubernetes
  • Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, and Datadog
  • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation
  • Proficiency in scripting languages such as Python, Go, and Bash
  • Knowledge of software development best practices
  • Strong understanding of networking, security, and system administration concepts
  • Excellent problem-solving and communication skills
  • Self-motivated and able to work well in a fast-paced startup environment
  • Experience in an AI/ML environment is advantageous
  • Experience with high-performance computing (HPC) systems and workload managers such as Slurm is advantageous
  • Experience with modern AI-oriented solutions such as Fluidstack, Coreweave, and Vast is advantageous

Benefits

Comp & perks
  • Healthcare coverage
  • Parental leave
  • Retirement plans
  • Relocation support
  • Wellness programs
  • Meal allowances
  • Transportation allowances
  • Other location-specific perks