- Company Name
- Telespazio
- Job Title
- Stage Ingénieur DevOps - Unification de formats de logs assistée par l'IA
- Job Description
-
Job Title: DevOps Engineer Internship – AI‑Assisted Log Format Unification
Role Summary:
An entry‑level internship within a DevOps team focused on designing, building, and validating a scalable, AI‑driven solution for collecting, normalizing, and analyzing logs from diverse sources (system, network, application, container). The role combines architecture design, scripting, machine‑learning model development, and prototype testing to streamline log ingestion for SIEM or analytics platforms.
Expectations:
- Enrolled in the final year of a Computer Engineering, Software Engineering, or related master’s program (Bac+5).
- Self‑motivated, autonomous, and meticulous in execution.
- Strong analytical and synthesis skills.
- Interest in complex systems, security, and emerging technologies.
Key Responsibilities:
1. **Log Analysis & Requirements** – Identify and classify existing log types (system, network, application, container); define a generic target format.
2. **Architecture Design** – Create a resilient, scalable log collection framework; design connector and API layers for forwarding to analytics solutions (SIEM, Loki, or equivalent).
3. **AI/ML Development** – Build a transformation engine in Python that classifies and normalizes logs; train models on varied formats and implement continuous learning loops for new sources.
4. **Prototype Implementation** – Develop a functional prototype and validate it against multiple log origins; document architecture and code.
5. **Testing & Documentation** – Produce test cases, run validation scenarios, and maintain clear technical documentation.
Required Skills:
- Python programming (advanced).
- Knowledge of AI/ML concepts and libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Experience with containerization (OCI, Docker, Kubernetes).
- Proficiency with APIs and structured data formats (JSON, XML, YAML).
- Familiarity with SIEM or log aggregation platforms (e.g., Loki, ELK stack).
- Strong analytical and problem‑solving abilities.
Required Education & Certifications:
- Current enrollment in a Master’s‑level curriculum in Computer Science, Software Engineering, or equivalent; expected graduation in 2026 (Bac+5).
- No mandatory certifications required, but knowledge of cloud or DevOps tools (e.g., Git, CI/CD pipelines) is a plus.