We are seeking a Technical Support Engineer – On-Premise Infrastructure to join our Support team in France. This role is ideal for someone who excels at technical troubleshooting, incident investigation, and customer communication in a B2B environment.
As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations.
This is a unique opportunity to work at the intersection of AI infrastructure, customer success, and technical problem-solving.
Key Responsibilities:
Technical Support & Incident Management
• Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security).
• Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models).
• Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently.
• Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.
Knowledge Sharing & Process Improvement
• Documentation: Create and update technical FAQs, troubleshooting guides, and internal knowledge base articles to empower self-serve/L1 team and reduce recurrence of issues.
• Feedback Loop: Identify recurring pain points in on-premise deployments and suggest improvements to product, documentation, or support workflows.
Customer-Centric Approach
• Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations.
• Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.
Technical Expertise
• On-Premise & Cloud Environments: Deep understanding of Linux/Windows servers, networking, virtualization, storage, security (firewalls, RGPD compliance), and cloud providers (AWS, GCP, Azure).
• Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts.
• Terraform: Familiarity with Infrastructure as Code (IaC) for managing cloud resources is a strong plus.
• AI Infrastructure: Knowledge of AI/ML pipelines, LLM/RAG deployments, GPU acceleration, and data storage solutions for enterprise clients.
• Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).
Who you are:
Required Experience: 3+ years in technical support, systems administration, or DevOps, with a focus on on-premise or hybrid infrastructures.
Technical Skills:
• Hands-on experience with troubleshooting complex technical issues in enterprise environments.
• Knowledge of AI/ML workflows, data pipelines, or high-performance computing (a strong plus).
• Familiarity with ticketing systems (Intercom), RGPD compliance, and security best practices.
Soft Skills:
• Exceptional problem-solving and analytical skills.
• Strong written and verbal communication in French and English (additional languages are a bonus).
• Ability to explain technical concepts clearly to non-technical stakeholders.
Mindset:
• Customer-obsessed, with a passion for delivering high-quality support.
• Collaborative, able to work effectively in a distributed, fast-paced team.
• Curious and adaptable, with a willingness to learn and master new technologies.
Why Join Mistral AI?
• Impact: Directly contribute to the success of enterprise AI deployments and shape the future of on-premise support.
• Growth: Opportunities for career advancement in support leadership, technical specialization, or customer success.
• Innovation: Work with cutting-edge AI technology in a dynamic, mission-driven company.
• Team: Join a passionate, diverse, and low-ego team that values collaboration and continuous learning.
• Work Environment: Hybrid flexibility (Paris office) with a focus on work-life balance and professional development.
XML job scraping automation by YubHub
