Sr Software Engineer

raleigh, North CarolinaOnsiteFull Time$120k - $140kSenior Software Engineer — Edge PlatformA client of ours is an Animal AgTech company building automated, data-driven systems that improve animal welfare, productivity, and profitability across the poultry, livestock, and aquaculture industries is looking for a Senior Software Engineer to join its Edge team. Their automated systems replace manual, inefficient processes in animal protein production with high-throughput machines deployed in hatcheries and processing facilities around the world.In this role, you'll design, build, and operate the distributed edge-to-cloud pipeline that runs on IoT devices on the production floor — ingesting high-rate sensor and controller data and reliably forwarding it to the cloud over intermittent connectivity. This is a hands-on, backend-focused role spanning containerized .NET services, relational and document data stores, pub/sub messaging, and industrial protocol integration. You'll own features end-to-end and collaborate closely with Controls, HMI, Manufacturing, and Field Support to ship reliable, production-grade systems.What You Will Be Doing35% — Backend Service Development: Design and implement backend services in C# on modern .NET / ASP.NET Core for the edge platform — REST APIs, background workers, message handlers, telemetry aggregators, and long-running device services. 30% — Data Pipeline Ownership: Own the pipeline from device ingest to cloud archive — schema design, data-access layer, database migrations, partitioning and retention strategy, and durable store-and-forward upload to cloud object storage. 15% — Containerization & Deployment: Build and maintain containerized services and their deployment manifests, configuration, and orchestration. 10% — Industrial Integration: Integrate with industrial controllers over standard fieldbus and communication protocols — designing message contracts, register maps, warning/error codes, and controls-side handshakes for coordinated operation. 10% — Architecture & Mentorship: Contribute to architecture docs and refactors that keep the codebase maintainable; raise the bar in code review, pair with junior engineers, and coordinate cross-functionally to ship releases.Platform EnvironmentLanguages: C# / modern .NET / ASP.NET Core (Python strongly preferred for tooling and test automation) Data: Relational and document stores, raw SQL, migrations, partitioning Infrastructure: Containerization, Linux (systemd, networking, shell scripting) CI/CD: Azure DevOps Pipelines, GitHub Actions, or similar Industrial Protocols: EtherCAT, MODBUS, OPC UA, PROFINET, EtherNet/IP, PLC integration Cloud: Azure (Blob Storage, IoT Hub, Container Registry, Managed Identity); AWS or GCP welcome Orchestration: Kubernetes, K3s/MicroK8s at the edge (a plus)Requirements5+ years of professional software engineering experience shipping production systems, with at least 1 year in a senior or technical-lead capacity Strong professional experience with C# and modern .NET — ASP.NET Core REST APIs, hosted/background services, and worker services Solid database engineering: relational schema design, indexing, migrations, and query tuning; comfort writing and reviewing raw SQL Practical experience with containerization Comfort with Linux as a deployment target (systemd services, log management, networking, device troubleshooting) and shell scripting Proficiency with Git, pull-request workflows, and CI/CD, including running unit and integration tests in the pipeline Strong grounding in software engineering fundamentals: automated testing, code review, refactoring, API design, and clear technical documentation Demonstrated experience delivering distributed backend systems in production, ideally at the edge or in an IoT/industrial contextNice to HaveWorking knowledge of Python for tooling, data analysis, and test automation (pytest) Experience integrating with industrial control systems via fieldbus or SCADA protocols, or interoperating with PLCs Azure cloud services (Blob Storage, IoT Hub, Container Registry, Managed Identity, Azure DevOps) Kubernetes for orchestrating containerized workloads (deployments, services, Helm charts); K3s or MicroK8s at the edge IoT device software experience — long-lived services on embedded/ARM64 hardware, remote deployment, fleet management, safe OTA updates Familiarity with columnar/analytics formats (Parquet) and analytics engines (Fabric, Synapse, Databricks, DuckDB) Familiarity with visualization/dashboard tools (Grafana) and time-series data modelingWorking ConditionsWork is performed in a flex-space building with offices, open desk space, a laboratory, machine shop, and a manufacturing floor. Office areas are quiet and temperature-controlled; warehouse spaces have elevated noise and variable temperatures. Travel may be required — roughly 2–8 trips per year to visit suppliers, attend conferences and meetings, and visit customer sites (hatcheries).LI-JD17