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Senior Software Engineer
Job Location:
Monthly Salary:
Experience Required:
Posted:
4 June 2026 (30+ days ago)
Posted:
Application Deadline:
1 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
This is a remote position.
About the role
Were 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. Youll work across the full stackbuilding 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 youll 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 featuressuch as predictive routing demand forecasting or anomaly detectioninto 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 were looking for
- 710 years of full-cycle software engineering experience with production-grade systems
- Bachelors 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 featureswhether LLM-based tooling predictive models or data intelligence layers
- Strong SQL skills with experience optimizing queries in large complex datasets
- Excellent communication skillsable 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
