We're partnering with a growing logistics technology company to place a Senior Software Engineer who thrives at the intersection of complex systems and real-world supply chain challenges. You'll work across the full stack—building scalable APIs, intelligent data pipelines, and AI-powered features that keep global operations moving. This is a high-impact individual contributor role where your code ships to production and your decisions shape architecture.
What you'll do:
- Design, develop, and maintain scalable backend services and APIs using C#/.NET to power core logistics platform features
- Build and optimize front-end interfaces using JavaScript frameworks that support operations and customer-facing workflows
- Write and tune complex SQL queries, stored procedures, and data models across relational databases in high-throughput environments
- Integrate and develop AI/ML-powered features—such as predictive routing, demand forecasting, or anomaly detection—into existing product lines
- Collaborate with product and engineering leadership to define technical roadmaps and lead solution design for new initiatives
- Participate in code reviews, establish coding standards, and mentor junior engineers
- Contribute to CI/CD pipelines, observability, and system reliability across distributed services
- Translate ambiguous logistics domain problems into clean, maintainable technical solutions
What we're looking for:
- 7–10 years of full-cycle software engineering experience with production-grade systems
- Bachelor's degree in Computer Science or closely related field — required
- Deep fluency in at least two of the core stack technologies; working knowledge of all four is strongly preferred
- Proven experience in logistics, supply chain, transportation, or adjacent industries is a significant plus
- Hands-on experience integrating or building AI/ML features—whether LLM-based tooling, predictive models, or data intelligence layers
- Strong SQL skills with experience optimizing queries in large, complex datasets
- Excellent communication skills—able to articulate trade-offs and drive technical decisions cross-functionally
Nice to have
- Experience with cloud platforms (Azure, AWS, or GCP) and containerized deployments (Docker/Kubernetes)
- Exposure to event-driven architectures, message queues (Kafka) or real-time data processing