The RoleYou will work in a fast-paced Agile environment designing, building, and operating backend systems that power decision intelligence capabilities for logistics service providers. You won't be a cog in a large engineering machine - you'll be close to the product, close to customers, and shipping things that matter.
What You'll Work On - Design, build, and operate backend systems that power decision intelligence capabilities, using AI and analytics to help LSP customers make informed, timely, and confident supply chain decisions
- Build services and workflows that reduce manual effort and enable action - helping customers collaborate more effectively with carriers and partners
- Own and modernize core platform services such as identity and access management (IAM) and search infrastructure, keeping them secure, scalable, and extensible as new AI capabilities are introduced
- Transform large-scale logistics data into actionable insights - supporting recommendations, decision support, and automated actions
- Partner closely with product, data, and design to translate ambiguous customer problems into well-scoped, scalable technical solutions
- Build and operate systems on Google Cloud Platform (GCP), leveraging managed services for reliable, scalable backend delivery
- Take shared ownership of development, testing, deployment, and operations for your team's systems
- Participate in on-call rotation, debugging and resolving issues across your team's services
- Improve observability, monitoring, and operational tooling to ensure system reliability
- Contribute to technical design discussions, code reviews, and documentation - setting a high bar for quality and maintainability
- Mentor and support other engineers through code reviews, pairing, and technical guidance
What We're Looking For Qualifications - 5+ 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 (REST, OpenAPI/Swagger)
- Experience working with NoSQL and/or relational databases (MongoDB, DynamoDB, Postgres, or similar)
- Experience working in an Agile software development environment
- Comfortable using AI-assisted development tools (Cursor, Claude, GitHub Copilot, or similar) while maintaining high standards for code quality and correctness
Nice to Have - Event-driven systems and stream-processing pipelines (Kafka, Kinesis, or similar)
- Containerization and orchestration (Docker, Kubernetes)
- Experience designing or working with agentic AI systems - multi-step or autonomous LLM-powered workflows
- Familiarity with agentic AI frameworks or patterns: task planning, tool invocation, stateful agents, workflow orchestration
- Building platform or framework-level solutions that enable AI-driven automation and decision-making
How You Work - Clear communicator - you can explain technical decisions through design docs, discussions, and reviews, and work well with both technical and non-technical partners
- Analytical and comfortable with ambiguity - you make tradeoffs explicit and navigate uncertainty without waiting to be told what to do
- Strong sense of ownership - you voice ideas, take feedback, and iterate toward better solutions
Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.
In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters
3 days a week. Together, we're building something extraordinary-learn, grow, and thrive in our fast-paced, transformative environment.
