At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a dynamic team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Role Summary

We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.

Responsibilities

As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.

Operations

• Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads

• Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters

• Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)

• Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime

• Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs

• Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences

Development

• Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform

• Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments

• Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure

• Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.)

• Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements

• Document processes and procedures to ensure consistency and knowledge sharing across the team

• Contribute to open-source projects, research publications, blog articles and conferences

About You

• 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 (issue root cause analysis, in-production troubleshooting, on-call rotations...)

• Experience working against reliability KPIs (observability, alerting, SLAs)

• Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...)

• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...)

• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation

• Proficiency in scripting languages (Python, Go, Bash...) and 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

Your Application Will Be All The More Interesting If You Also Have:

• Experience in an AI/ML environment

• Experience of high-performance computing (HPC) systems and workload managers (Slurm)

• Worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...)

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

Role Summary

We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.

Responsibilities

As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.

Operations (50%)

• Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads
• Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters
• Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)
• Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime
• Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs
• Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences

Development (50%)

• Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform
• Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments
• Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure
• Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.)
• Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements
• Document processes and procedures to ensure consistency and knowledge sharing across the team
• Contribute to open-source projects, research publications, blog articles and conferences

About You

• 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 (issue root cause analysis, in-production troubleshooting, on-call rotations...)
• Experience working against reliability KPIs (observability, alerting, SLAs)
• Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...)
• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...)
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
• Proficiency in scripting languages (Python, Go, Bash...) and 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

Your Application Will Be All The More Interesting If You Also Have:

• Experience in an AI/ML environment
• Experience of high-performance computing (HPC) systems and workload managers (Slurm)
• Worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...)

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Job Responsibilities

Design, Develop, and Maintain Infrastructure as Code (IaC)

Design, develop, and maintain Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.

Implement and Operate Reliable, Scalable Cloud Infrastructure

Implement and operate reliable, scalable cloud infrastructure primarily on AWS (e.g., EC2, ECS, RDS, S3, Lambda, ElastiCache, SQS, SES, Auto Scaling, Load Balancers).

Lead and Participate in Architecture Reviews

Lead and participate in architecture reviews focusing on reliability, scalability, security, and performance.

Develop and Manage Robust Monitoring, Alerting, and Logging Solutions

Develop and manage robust monitoring, alerting, and logging solutions (e.g., CloudWatch, Prometheus, Grafana, ELK, etc.) to detect and resolve issues proactively.

Perform Incident Management

Perform incident management, postmortems, root cause analysis, and implement continuous improvement strategies.

Collaborate with Software Engineering Teams

Collaborate with software engineering teams to improve CI/CD pipelines, deployment automation, and release management.

Automate Infrastructure Operations

Automate infrastructure operations, reduce manual toil, and improve reliability using scripting (Python, Bash, Node.js, or Ruby).

Maintain and Troubleshoot Environments

Maintain and troubleshoot environments involving web servers, databases, firewalls, DNS, load balancers, and networking.

Ensure Systems Compliance

Ensure systems are compliant with security standards, including patching, hardening, and secure access policies.

Provide On-Call Support

Provide on-call support, participate in incident rotations.

Monitor and Maintain Service-Level Objectives (SLOs)

Monitor and maintain service-level objectives (SLOs), SLAs, and error budgets to ensure reliability targets are met.

Provide Support and Solution Handling

Provide support and solution handling to incident and tickets assigned.

Pre-Requisites

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Minimum 2 years of experience in SRE, DevOps, Cloud Infrastructure, or Systems Administration roles.
• Solid hands-on experience with AWS Cloud services including (but not limited to):
• Compute: EC2, Lambda, ECS, Auto Scaling
• Networking: VPC, Load Balancers, Route 53
• Messaging & Storage: SQS, S3, RDS, ElastiCache, SES
• Monitoring: CloudWatch, X-Ray
• Proficient in Infrastructure as Code using Terraform and/or CloudFormation.
• Experience with CI/CD tools (e.g., GitLab CI, Jenkins, CodePipeline, ArgoCD).
• Strong understanding of Linux and Windows system administration and troubleshooting.
• Comfortable with one or more scripting/programming languages such as Python, Node.js, Bash, Ruby, or JSON/YAML for automation.
• Strong grasp of network fundamentals, including DNS, HTTP(S), TLS/SSL, firewalls, and TCP/IP.
• Experience with containerization and orchestration (Docker, ECS, or Kubernetes is a plus).
• Familiar with observability tools and incident management best practices.
• Vietnamese citizen based in Ho Chi Minh City.

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We are seeking SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to design and implement robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability and performance.

Responsibilities

• Design and Implement Observability Solutions: Develop comprehensive monitoring and alerting systems using modern observability tools. Create dashboards and metrics that provide real-time visibility into system health and performance. Implement logging strategies that enable quick problem identification and resolution.

• Drive Automation and Infrastructure as Code: Architect and implement infrastructure automation solutions using tools like Terraform, Ansible, or Pulumi. Design and maintain CI/CD pipelines that enable reliable and consistent deployments. Create self-healing systems that can automatically respond to common failure scenarios.

• Establish SLOs and SLIs: Work with product and engineering teams to define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to track and report on these metrics, ensuring we maintain high reliability standards while balancing innovation speed.

• Incident Management and Response: Lead incident response efforts, conducting thorough post-mortems, and implementing improvements to prevent future occurrences. Develop and maintain runbooks for critical services. Build tools and processes that reduce Mean Time To Recovery (MTTR).

• Performance Optimization: Identify and resolve performance bottlenecks across our infrastructure. Implement capacity planning strategies and optimize resource utilization. Work on reducing latency and improving system efficiency across global regions.

Requirements

• 4-8 years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering)

• Strong programming skills in languages commonly used for automation (Python, Go, or similar)

• Deep understanding of distributed systems

• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies

• Proven track record of implementing and maintaining monitoring/observability solutions

• Strong incident management skills with experience leading incident response

• Experience with infrastructure as code and configuration management tools

Bonus Points

• Experience with Google Cloud Platform (GCP) services and tools

• Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.)

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions

• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams

• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences

• Continuous learning: Passion for staying current with industry best practices and new technologies

• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

Want to Learn More About What We Are Up To?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

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What you'll do

• In your first 60 days, gain an understanding of the GameKit environment and assess existing monitoring and observability systems.
• By 90 days, begin implementing the observability roadmap, contribute to incident response, and identify opportunities to improve automation and reliability.
• By 120 days, take ownership of main SRE plans, guide cross-team collaboration, and influence EA's approach to operational excellence.
• Beyond 180 days, lead long-term strategies to improve reliability, mentor engineers, and champion sustainable and scalable engineering practices.

What you need

• Experience operating cloud platforms, especially AWS and Azure.
• Experience in monitoring, observability, and incident response at scale.
• Hands-on experience with Infrastructure-as-Code and automation.

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