Role Overview
- Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
- Ensure high performance and reliability across our distributed systems.
- Contribute to systems powering inference, billing, AI tooling, observability, and developer experience.
- Design and implement efficient, secure and scalable architectures that support our fast-growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Write clean, maintainable and well-documented code.
- Participate in code reviews and contribute to technical standards and best practices.
- Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.
- Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
- Tackle complex engineering challenges, from distributed systems to AI product integration.
- Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.
Requirements
- Degree in Computer Science, Software Engineering, or equivalent practical experience.
- Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session.
- Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
- Strong problem-solving abilities and attention to detail.
- Ownership mindset capable of shipping end-to-end features with minimal oversight.
- Excellent communication skills and collaborative attitude.
- Team-oriented, low-ego mindset and curiosity for learning.
Now, it would be ideal if you had experience with:
- Full-stack exposure
- Working closely with an API & developer ecosystem
- Deploying software to a diverse set of environments (cloud, on-premises, etc.)
- Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
- AI/ML engineering
- Observability and monitoring tools (Prometheus, Grafana, Datadog…).
- UX and product-centric mindset.
Tech Stack
- Cloud
- Distributed Systems
- Docker
- Grafana
- Kotlin
- Kubernetes
- Prometheus
- Python
- Terraform
- Go
Benefits
💰 Competitive salary and equity
🚑 Healthcare: Medical/Dental/Vision covered for you and your family
👴🏻 401K : 6% matching
🏝️ PTO : 18 days
🚗 Transportation: Reimburse office parking charges, or $120/month for public transport
🏀 Sport: $120/month reimbursement for gym membership
🥕 Meal stipend: $400 monthly allowance for meals
🌎 Visa sponsorship
🤝 Coaching: we offer BetterUp coaching on a voluntary basis