Senior C++ Backend Engineer. High-Performance Data Streaming

We are looking for a senior C++ engineer to build a high-performance service for streaming large scientific and engineering datasets.

This is not a conventional CRUD backend role. You will work on asynchronous networking, HTTP/3 and QUIC, object-storage range reads, binary data transfer, native library integration, request scheduling, and bounded-memory data pipelines.

What you will do

• Design and implement the data-streaming service in modern C++.
• Build persistent HTTP/3 and QUIC-based client-server communication.
• Stream selected regions of large datasets without downloading complete files.
• Integrate with S3-compatible object storage and native data-processing libraries.
• Implement asynchronous request scheduling, prioritisation, cancellation, retries, caching, and backpressure.
• Design stable binary and JSON interfaces between independently developed components.
• Implement token-based authentication and fine-grained access control.
• Optimise memory allocation, copying, concurrency, and end-to-end throughput.
• Add metrics, tracing, load testing, and failure recovery.
• Collaborate with visualisation, machine-learning, backend, and systems engineers.

What we are looking for

• Strong production experience with modern C++17/20.
• Experience building high-throughput, low-latency, or data-intensive systems.
• Strong understanding of asynchronous and concurrent programming.
• Good knowledge of networking, HTTP, TLS, and binary protocols.
• Experience with streaming I/O, byte-range access, buffering, caching, and memory management.
• Practical knowledge of S3, MinIO, Ceph, or similar object-storage systems.
• Strong debugging, profiling, and performance-optimisation skills.
• Experience designing reliable APIs and component boundaries.
• Familiarity with Linux systems programming and production service operation.

Nice to have

• Experience with HTTP/3, QUIC, WebTransport, or high-performance RPC.
• Experience with zero-copy or low-copy data paths.
• Experience integrating C++ libraries with Python
• Familiarity with CUDA or GPU-oriented data pipelines.
• Background in distributed storage, databases, CDNs, filesystems, media streaming, HPC, or scientific visualisation.
• Experience with OAuth, OIDC, JWT, and capability-based access.
• Knowledge of Kubernetes and OpenTelemetry.