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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