Mistral

1 week ago

Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Shape the reliability, scalability, and performance of production systems and customer-facing applications. Balance day-to-day SRE operations with long-term engineering improvements to reduce operational toil. Design and maintain fault-tolerant infrastructure for web services and ML workloads, build monitoring/incident response, and develop CI/CD and orchestration workflows using modern tools. Collaborate with software and AI/ML research teams to enable safe, reproducible experiments and cloud-agnostic platform capabilities.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable, highly available, fault-tolerant infrastructure for web services and ML workloads.
•Ensure platform and training environments are highly available and support replication across HPC clusters.
•Operate production systems, troubleshoot incidents, and run occasional on-call rotations with root cause analysis.
•Implement and improve monitoring, alerting, and incident response systems to minimize downtime.
•Drive infrastructure automation and orchestration improvements using tools like Kubernetes, Flux, and Terraform, and build workflows and tooling for reliability across APIs and training runs.

Pay and Benefits

Perks:Health InsuranceParental LeaveRelocationWellness StipendMeal AllowanceCommuter BenefitsPension

Key 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.
•Experience working on reliability KPIs (observability, alerting, SLAs) and handling site reliability issues in critical environments.
•Hands-on experience with CI/CD, containerization, and orchestration tools (Docker, Kubernetes) plus infrastructure-as-code (Terraform or CloudFormation).

Experience:7+ yearsAI/MLDevOps/SREHigh-performance computingHPCML workloadsOpen source

Education:Master's in Computer Science, Engineering or related field

Skills:Problem-solvingCommunicationCollaborationSelf-motivatedKnowledge sharing

Tech Stack:KubernetesFluxTerraformDockerPrometheusGrafanaELK StackDatadogCloudFormationPythonGoBashCI/CDContainerizationOrchestrationMonitoringLoggingAlertingHPC clustersSlurm

Company Brief

Mistral

Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn

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Mistral

1 week ago

Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable, highly available, fault-tolerant infrastructure for web services and ML workloads.
•Ensure platform and training environments are highly available and support replication across HPC clusters.
•Operate production systems, troubleshoot incidents, and run occasional on-call rotations with root cause analysis.
•Implement and improve monitoring, alerting, and incident response systems to minimize downtime.
•Drive infrastructure automation and orchestration improvements using tools like Kubernetes, Flux, and Terraform, and build workflows and tooling for reliability across APIs and training runs.

Pay and Benefits

Perks:Health InsuranceParental LeaveRelocationWellness StipendMeal AllowanceCommuter BenefitsPension

Key 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.
•Experience working on reliability KPIs (observability, alerting, SLAs) and handling site reliability issues in critical environments.
•Hands-on experience with CI/CD, containerization, and orchestration tools (Docker, Kubernetes) plus infrastructure-as-code (Terraform or CloudFormation).

Experience:7+ yearsAI/MLDevOps/SREHigh-performance computingHPCML workloadsOpen source

Education:Master's in Computer Science, Engineering or related field

Skills:Problem-solvingCommunicationCollaborationSelf-motivatedKnowledge sharing

Tech Stack:KubernetesFluxTerraformDockerPrometheusGrafanaELK StackDatadogCloudFormationPythonGoBashCI/CDContainerizationOrchestrationMonitoringLoggingAlertingHPC clustersSlurm

Company Brief

Mistral

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn