About client :

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

Required Qualifications

• 2–5 years of experience developing and maintaining backend systems in Python or Go.
• Strong understanding of RESTful API or gRPC design, versioning, and performance optimization.
• Experience with Docker and basic familiarity with Kubernetes for deploying scalable services.
• Solid understanding of relational databases (PostgreSQL/MySQL) and schema design.
• Experience integrating or automating workflows across multiple systems (data, CI/CD, ML).
• Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions).
• Experience with AWS or cloud-based deployment environments.
• A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices.

Preferred Qualifications

• Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow).
• Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton).
• Experience building or integrating benchmarking, evaluation, or data automation pipelines.
• Familiarity with message queues or event-driven architectures (Kafka, NATS, RabbitMQ).
• Understanding of observability tooling (Prometheus, Grafana, OpenTelemetry).
• Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences.

We offer

• Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
• Relocation package (if applicable).
• Fixed-term contract ending in June 2026.
• Hybrid role and flexible working hours.
• Be part of a fast-scaling Series B company at the forefront of deep tech.
• Equal pay guaranteed.
• International exposure in a multicultural, cutting-edge environment.