Systems Integrations Engineer (Real‑Time Systems)

SUMMARY:
My client is looking for a backend engineer who loves real‑time data, systems thinking, and scale.
This role is about building integrations that cannot fail, high volume, always on, globally used.
If you enjoy solving hard problems close to the metal, this one is special.

POSITION INFO:

My client builds mission‑critical software used globally to power real‑time operational systems. This role sits at the heart of the platform, designing, building, and supporting high‑performance integrations between devices, internal platforms, and third‑party systems.
You’ll work on real‑time TCP data ingestion, backend processing pipelines, APIs, and event‑driven architectures. This is not CRUD work. It’s about reliability, throughput, latency, and data integrity at scale.

What you’ll be doing:
Building and maintaining TCP/IP‑based services ingesting high‑volume real‑time data
Parsing, validating, and normalizing messy, unreliable device data
Designing and developing REST APIs, webhooks, and system integrations
Building backend services primarily in C# / .NET
Designing and optimizing MS SQL Server schemas for time‑series / telemetry data
Working with message queues (e.g. RabbitMQ, Kafka) for asynchronous processing
Implementing retries, fault tolerance, monitoring, logging, and alerting
Debugging across device, network, and backend layers
Supporting partner integrations and technical onboarding
Documenting protocols, APIs, and integration flows
This role rewards engineers who think in systems, not just features.

Skills & Experience:
Minimum 4+ years’ experience in backend development, infrastructure, or systems integration
Strong experience with C# / .NET
Solid experience with MS SQL Server (performance tuning, schema design)
Hands‑on experience building TCP/IP services
Experience with real‑time or high‑volume data processing systems
Strong understanding of REST APIs, distributed systems, and authentication
Experience with message brokers (RabbitMQ, Kafka, or similar)
Comfortable handling edge cases, unreliable data, and production issues

Qualification:
Relevant experience is prioritised. Formal qualifications are beneficial but not mandatory.


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