Description
We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our Cloud platform and customer facing applications.
You will work closely with our software engineers and product teams to ensure our systems meet and exceed our internal and external customers' expectations.
Key responsibilities include:
- Design, build, and maintain scalable, highly available and fault-tolerant infrastructures
- Operate systems and troubleshoot issues in production environments
- Implement and improve monitoring, alerting, and incident response systems
- Implement and maintain workflows and tools for both our customer-facing APIs and large training runs
Development responsibilities include:
- Drive continuous improvement in infrastructure automation, deployment, and orchestration
- Collaborate with software engineers to develop and implement solutions that enable safe and reproducible model-training experiments
- Help build a cloud platform offering an abstraction layer between science, engineering and infrastructure
- Design and develop new workflows and tooling to improve the reliability, availability and performance of our systems
Additional responsibilities include:
- 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
- 5+ years of experience in a DevOps/SRE role
- Strong experience with bare metal infrastructure and highly available distributed systems
- Exposure to site reliability issues in critical environments
- Experience working against reliability KPIs
- Hands-on experience with CI/CD, containerization and orchestration tools
- Knowledge of monitoring, logging, alerting and observability tools
- Familiarity with infrastructure-as-code tools
- Proficiency in scripting languages and knowledge of software development best practices
- Strong understanding of networking, security, and system administration concepts
- Excellent problem-solving and communication skills
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
- Worked with modern AI-oriented solutions
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.lever.co/mistral/f76907fd-428a-4824-a1cf-8013974fde29