Lead Software Development Engineer

Shipium

87d•Remote

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field, and/or 5–8 years of progressive experience in platform engineering, distributed systems, or software development.
3+ years designing and implementing scalable platform services, APIs, and microservices in cloud-native environments.
Solid experience with distributed systems architecture and AWS cloud platforms.
Demonstrated ability to leverage AI development tools such as Claude Code, code generation models, and AI-powered testing frameworks to enhance development velocity.
Track record of mentoring engineers and elevating team engineering practices.

Nice To Haves

Experience in logistics, shipping, or B2B SaaS supply chain software.
Track record of producing high-quality technical documentation and presenting solutions to cross-functional stakeholders.

Responsibilities

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.
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.
Design and optimize data layers using PostgreSQL, MongoDB, and Redis, implementing both real-time streaming and batch processing pipelines to support platform needs.
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.
Define and implement RESTful APIs, message queuing systems, and event-driven architectures that enable seamless integration across internal services and client platforms.
Establish and maintain coding, testing, and monitoring standards for platform engineering teams, driving consistent quality across implementations.
Lead code reviews and champion automated testing practices to ensure production reliability.
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.
Produce clear, comprehensive technical documentation, including system specifications, API guides, and architectural decision records.
Work closely with product management, data science, and customer-facing teams to architect solutions that solve complex customer problems and meet business objectives.
Mentor engineers on advanced technical concepts, software engineering best practices, design patterns, coding standards, and career development.
Collaborate with engineering leadership to translate product requirements into technical implementation strategies.
Own the reliability and performance of the systems you build – from monitoring and observability through incident resolution.
Serve as a technical escalation point for platform issues, providing timely and accurate guidance to internal engineering teams and customer-facing organizations, driving root-cause fixes over temporary fixes.