Lead Engineer, Order Management

Responsibilities

• Lead complex, multi-sprint Order Management initiatives from problem framing and technical design through implementation, production rollout, and post-launch measurement, independently owning outcomes and driving execution through ambiguity.
• Design and build reliable, stateful services and workflows across checkout, order lifecycle management, fulfillment orchestration, and partner integrations, with a focus on correctness, data consistency, scalability, and explicit failure and recovery patterns.
• Drive technical decisions by evaluating and documenting options, constraints, and tradeoffs, while balancing near-term delivery with long-term maintainability, system simplification, technical debt reduction, and engineering velocity.
• Partner with Product, Engineering, and cross-functional teams to define scope, milestones, estimates, dependencies, success criteria, and delivery risks, connecting technical decisions to measurable client, business, and operational outcomes.
• Strengthen engineering and operational excellence through automated testing, observability, safe rollout and rollback strategies, incident leadership, post-incident remediation, code and design reviews, and mentorship that raises engineering standards across the team.
• How AI and tools show up in your day-to-day work
• Use AI-assisted development tools to accelerate discovery, implementation, testing, debugging, documentation, and problem-solving while applying strong engineering judgment to validate outputs and ensure production quality.
• Work across our engineering ecosystem, including Golang, Ruby on Rails, PostgreSQL, AWS, Kafka, Temporal, and Datadog, to build, operate, and continuously improve business-critical systems.
• Evaluate and adopt new AI capabilities, engineering tools, and technologies that improve developer productivity, system reliability, and the speed and quality of delivery.

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