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About the role
- Senior Software Engineer developing AI-enabled products for brokerage and managed services platforms at Redwood Logistics. Leading scalable features and collaborating across teams for digital logistics operations.
Responsibilities
- Lead the design and development of new platform capabilities across Redwoods technology ecosystem
- Partner with the AI Product and Data Science teams to integrate predictive, generative, and agentic models directly into product workflows
- Architect scalable, high-performance systems leveraging microservices, APIs, and event-driven patterns to support AI-enabled decisioning and automation
- Own full-stack development across .NET Core, C#, and modern JavaScript frameworks (React preferred), ensuring maintainable, production-grade solutions
- Guide technical design reviews, ensuring solutions align with Redwoods long-term architectural direction and platform modernization roadmap
- Collaborate with cloud and infrastructure teams to optimize performance, reliability, and scalability within Azure and containerized environments
- Implement automated testing, CI/CD pipelines, and observability frameworks to support rapid, high-quality releases
- Mentor engineers in advanced coding practices, architectural thinking, and AI integration techniques
- Contribute to the definition of Redwoods AI platform architecture, shaping reusable service patterns, data orchestration flows, and model-serving frameworks
- Stay current with emerging AI frameworks, developer tooling, and best practices, driving innovation and continuous improvement
Requirements
- Bachelors Degree in Computer Science or equivalent professional experience
- 5+ years of professional experience in software engineering, with a focus on scalable, distributed, or data-intensive systems
- Proven experience building and deploying cloud-native applications using .NET Core, C#, and modern JavaScript/TypeScript frameworks (React, Angular, or Vue)
- Strong understanding of AI/ML integration patterns, APIs, and data pipelines, with practical experience collaborating with data science or ML engineering teams
- Expertise in Azure cloud services, including container orchestration (AKS), serverless computing, and event-driven design
- Experience developing RESTful and GraphQL APIs with attention to performance, resilience, and data integrity
- Solid understanding of CI/CD pipelines, test automation, and secure deployment workflows
- Strong command of relational and non-relational databases (SQL, Cosmos DB, Postgres, or Snowflake preferred)
- Excellent communication and collaboration skills, with the ability to work cross-functionally across engineering, product, and AI teams
- Experience developing agentic or AI-driven applications, leveraging LLMs or orchestration frameworks
- Familiarity with event streaming (Kafka, Event Hubs) and data pipeline orchestration tools (Airflow, Data Factory)
- Preferred experience in logistics, brokerage, or supply chain technology
- Knowledge of domain-driven design and service mesh architectures
- Proven success in influencing platform-level design and scaling AI capabilities into production applications
Benefits
- Culture of unlimited growth with new positions and departments created regularly to support our growing customer base
- Paid parental leave policies
- Medical, dental, vision and 401k plans (with match)
- Flexible-spending, mass transit and dependent care plans
- Health savings account, with company contribution
- Short-term, long-term and life insurance policies subsidized by company
- Cell phone discounts; reduced fees for health and fitness clubs
- Additional benefits including pet insurance, accident care and more
- Competitive referral bonus program
- Competitive PTO plans, with extra floating holiday and time off to volunteer
- Fundraising and volunteer opportunities to give back to our local, national and international communities
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