About Shipium

Shipium builds technical infrastructure for complex supply chains.

Modern operators turn to Shipium when they want to turn their supply chain into a strategic value driver. Shipium's platform provides cloud infrastructure and leading AI capabilities that optimize costs and scale automation.

We’re building tech that connects previously fragmented systems and automates complex supply chain decisions to deliver speed and value across operations. 

Founded in 2019 by supply chain technology experts from Amazon and Zulily, the company is on a mission to help every eCommerce company provide its customers a great delivery experience while simultaneously reducing their costs to fulfill orders.

About the role

As a Lead Software Development Engineer at Shipium, no two days look the same: you will move fluidly between writing code, designing system architecture, coaching engineers, and troubleshooting live platform issues as you build the core platform services and supply chain optimization solutions that power our shipping intelligence products. You will personally architect, implement, and maintain the microservices that serve enterprise-class clients at high throughput.

You will take end-to-end ownership of the systems you build – from design through production. Your success will be measured by your ability to deliver scalable solutions, maintain platform stability, elevate engineering standards, and mentor engineers across the PIPE team. You will leverage modern AI development tools as a core part of your workflow to accelerate velocity, improve code quality, and ensure system reliability.

What you'll do

• Essential Duties & Responsibilities

Platform Development & Architecture

• Microservices Design: Design and build scalable platform services, APIs, and supply chain microservices in Java, Python, or TypeScript that support high-throughput, low-latency requirements for enterprise-class clients.
• Cloud-Native Architecture: Architect and deploy services across AWS using containerization (Docker, Kubernetes) and cloud-native patterns, contributing to technical design decisions that balance performance, scalability, maintainability, and cost.
• Data Systems: Design and optimize data layers using PostgreSQL, MongoDB, and Redis, implementing both real-time streaming and batch processing pipelines to support platform needs.
• AI-Assisted Development: Leverage AI coding tools such as Claude Code for code generation, automated testing, performance optimization, and intelligent monitoring to accelerate development velocity and improve code quality.
• API & Integration Design: Define and implement RESTful APIs, message queuing systems, and event-driven architectures that enable seamless integration across internal services and client platforms.

Technical Standards & Quality

• Engineering Standards: Establish and maintain coding, testing, and monitoring standards for platform engineering teams, driving consistent quality across implementations.
• Code Quality: Lead code reviews and champion automated testing practices to ensure production reliability.
• CI/CD & Deployment: Contribute to the design and improvement of CI/CD pipelines, working with DevOps to build golden paths that enable engineering teams to ship features with high velocity and low failure rates.
• Documentation: Produce clear, comprehensive technical documentation, including system specifications, API guides, and architectural decision records.

Collaboration & Mentorship

• Cross-Functional Partnership: Work closely with product management, data science, and customer-facing teams to architect solutions that solve complex customer problems and meet business objectives.
• Technical Mentorship: Mentor engineers on advanced technical concepts, software engineering best practices, design patterns, coding standards, and career development.
• Technical Planning: Collaborate with engineering leadership to translate product requirements into technical implementation strategies.

Production Owner