11 hours ago
Responsibilities
- Design, build, and operate scalable backend systems and services for AI-powered supply chain decision intelligence.
- Build integrations, workflows, and APIs that connect project44 with logistics networks, carriers, and supply chain partners.
- Own and modernize platform services including identity and access management and search infrastructure.
- Transform large-scale logistics data into recommendations, decision support, and automated actions.
- Deploy and operate systems on Google Cloud Platform using managed services.
- Share ownership of development, testing, deployment, operations, observability, monitoring, and on-call support.
- Participate in technical design, code reviews, documentation, and mentoring of other engineers.
Requirements
- 4+ years of professional experience building large-scale, cloud-based systems.
- Strong programming and debugging skills with proficiency in Java.
- Experience designing and building scalable Java-based microservices.
- Experience designing and consuming APIs and web services, including REST and OpenAPI/Swagger.
- Experience with NoSQL and/or relational databases such as MongoDB, DynamoDB, or Postgres.
- Experience in an Agile software development environment.
- Experience using AI-assisted development tools such as Cursor, Claude, or GitHub Copilot while maintaining code quality, security, and correctness.
- Helpful experience includes Kafka or Kinesis event-driven systems, Docker, Kubernetes, agentic AI systems, LLM-powered workflows, and platform or framework solutions for AI-driven automation.
Benefits
- On-site work at the company headquarters three days per week.
- Equal opportunity workplace with diversity, inclusion, and accommodation support during the hiring process.
Tech Stack
Categories
About project44
project44 builds an enterprise SaaS platform that gives shippers, retailers, and logistics providers real-time visibility, predictive insights, and workflow tools across global transportation networks. Its products span end‑to‑end shipment tracking, intelligent transportation management, yard operations, last‑mile delivery, and developer APIs that integrate with TMS/ERP systems. Founded in 2014 and headquartered in Chicago, the privately held company serves customers across manufacturing, automotive, retail, life sciences, and other complex supply chain industries.