JR Recruiting - Senior Software Engineer

Developer is needed in United States.

Client: JR Recruiting

Location: Chicago, IL, us

Contract: Freelance

Job Description

This is a remote position.

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.

Responsibilities

• 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.

Requirements

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.