Senior Software & Data Engineering (H/F)
Core
Design, develop, and industrialize cutting-edge software and data solutions for high-impact AI products and client projects.
Role type
Senior Software & Data Engineer
Builds
Custom software applications, scalable data architectures, and AI/MLOps systems
Domain
Artificial Intelligence, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Java, Kotlin, Scala, TypeScript, SQL, NoSQL, Backend frameworks, Frontend frameworks, Data pipeline design, Data warehouse/lake/lakehouse architecture, Git, CI/CD tools, Docker
Preferred skills
Cloud platforms (AWS, GCP, Azure, OpenStack), MLOps tools (MLflow, DVC, Kubeflow, BentoML), Orchestration/streaming (Kafka, RabbitMQ, Airflow), OPS (Kubernetes, Terraform, Ansible), Unit/Integration/Load testing, AI/ML/DL/NLP knowledge, UNIX & Bash
Technologies
Python, Java, Kotlin, Scala, TypeScript, Spring, NestJS, React, Angular, SQL, NoSQL, Git, Docker, AWS, GCP, Azure, OpenStack, MLflow, DVC, Kubeflow, BentoML, Kafka, RabbitMQ, Airflow, Kubernetes, Terraform, Ansible
Responsibilities
Design and develop robust applications, APIs, and scalable data architectures; Industrialize data pipelines for high volumes; Design and integrate AI/GenAI solutions into client products; Evolve MLOps and Data Engineering stacks; Conduct code reviews and share best practices; Mentor junior profiles; Contribute to cross-functional R&D projects (OPS, security, tooling, innovation); Participate in technical exchanges with commercial teams
Seniority
Senior, hands-on IC with mentorship responsibilities
