Senior Software Engineer

The Role

You 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

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