Senior Software Engineer

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