Principal Software Engineer with Python

Project description

Applications are invited for the position of Developer working in the TeraVM 5G RIC team. This team is responsible for the development of our solutions for testing and monitoring the core of modern telecom 5G Core networks based on 3GPP's 5G Services Based Architecture. TeraVM 5G product line is a containerized micro-services solution based on the latest available technologies including Docker, Asynchronous Python, HTTP/2, and OpenAPIv3 (and many more). It also leverages our existing Intellectual Property in C/C++, Virtualization, and high scale network simulation, including new developments in all areas. Working in the TeraVM 5G RIC team, the successful candidate will be responsible for developing and maintaining the framework and network functions that integrate our 5G test & monitoring solution. This role provides unparalleled exposure to the latest telecom standards and networking technologies. The TeraVM product is a virtualized test/measurement solution that can emulate/measure millions of application streams. As a solution, TeraVM can be embedded in different test setups: OpenStack / Hybrid Cloud, Cyber Thread Analysis, Video delivery, Network Visualization Function, etc. Luxoft is engaged with Wireless division in the development of the TeraVM line of products, being fully responsible for the development of a few of the applications that are parts of the TeraVM eco-system.

Responsibilities

• Becoming an expert on 5G Service Based Architecture and its procedures, applied to RIC OpenRAN testing area for the moment
• Working with product management to specify how customer requirements can be developed into features in the product.
• Expanding the functionality and capabilities of our 5G Network Functions.
• Ensuring the product's Quality and Performance based on automated tests integrated within a Continuous Integration system.
• Finding and alleviating architectural bottlenecks, providing solutions that truly help our customers achieving the same.
• Exposing our product's features and capabilities through a configuration and management interface that is truly useful for the customer.
• Making our solution smarter, easier to integrate, and more able to diagnose issues and provide insightful and practical tips to our customers.

SKILLS

Must have

• - Advanced Python (concurrency, typing, performance profiling) and solid packaging/testing practices ; 10+ years - API/service design (REST/gRPC, FastAPI/Flask) - Core AI/ML skills: LLM fundamentals (prompting, RAG, embeddings), rigorous model evaluation, and MLOps (versioning, drift monitoring, reproducibility) - Applied depth in a major ML framework (PyTorch/TensorFlow or LangChain-style orchestration), including its cost/latency/failure tradeoffs - Data engineering at scale (pandas/polars/SQL/Spark judgment) - 5G/telecom domain knowledge: core network architecture (5GC — AMF/SMF/UPF/etc.), protocols (HTTP/2-based SBI, PFCP, NAS/NGAP), and how these map to test scenarios (signaling, throughput, session handling) - Working knowledge of network test concepts: traffic generation, DUT-based topologies, KPIs (latency, throughput, call/session success rate) - End-to-end system design ownership, from pipeline architecture through production monitoring and cost/security awareness - Technical leadership: setting direction without formal authority, mentoring, and communicating ML tradeoffs to non-technical stakeholders

Nice to have

- Cloud platform depth (AWS/GCP/Azure) and IaC (Terraform) - ML-specific CI/CD (artifact promotion, reproducible training pipelines) - Containers/orchestration (Docker/Kubernetes) for serving - Low-level performance work (C-extensions, Cython/pybind11) - Contract/integration testing across service boundaries