Staff Software Engineer, Orders Platform

Accountabilities

• Lead complex, multi-team engineering initiatives that improve the reliability, scalability, correctness, and operational performance of a large-scale Orders platform.
• Define and drive technical strategy for the complete order lifecycle, including order state models, service contracts, guarantees, and data integrity requirements.
• Architect and evolve event-driven, idempotent workflows supporting order creation, updates, cancellations, substitutions, payments, refunds, and other critical commerce operations.
• Establish clear system invariants, observability practices, and auditable histories across distributed services.
• Partner with engineering teams across Payments, Fulfillment, Catalog, Fraud and Identity, Data, Infrastructure, and other domains to develop reusable platform capabilities.
• Modernize platform architecture through improved consistency models, multi-tenant abstractions, failure isolation, secure integrations, and enhanced operability.
• Design secure, policy-driven platform capabilities that enable automated and agentic commerce workflows.
• Develop APIs and tools that allow AI systems and agents to interact with order workflows safely, reliably, and measurably.
• Lead architecture and design reviews, technical spikes, launches, and cross-team engineering efforts.
• Contribute hands-on to critical code paths while providing technical guidance and coaching to other engineers.
• Help establish strong engineering practices around reliability, performance, service ownership, incident response, and long-term maintainability.
• Communicate technical direction clearly with senior engineers, Product, Infrastructure, Data, and other cross-functional stakeholders.

Requirements

• 10+ years of experience designing, developing, and operating large-scale backend or platform systems in production.
• Demonstrated success leading complex technical initiatives from architecture and implementation through rollout and ongoing operations.
• Strong expertise in distributed systems, service-oriented architectures, high-volume APIs, asynchronous processing, event-driven systems, and idempotent workflows.
• Proficiency in one or more backend programming languages such as Go, Java, or Python.
• Production experience with both relational and NoSQL databases.
• Experience operating mission-critical services, including on-call ownership, service-level objectives or error budgets, performance optimization, incident management, and post-incident reviews.
• Demonstrated professional experience using AI-assisted development tools to accelerate design exploration, implementation, code review, or software quality.
• Strong communication and collaboration skills, with the ability to influence technical direction across senior engineering and cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline is preferred, or equivalent practical experience.
• Experience building payments, orders, logistics, or other high-integrity transactional platforms is highly valuable.
• Deep familiarity with asynchronous workflows and event-driven architectures such as Kafka or Pub/Sub, including at-least-once or exactly-once processing and outbox patterns.
• Experience integrating diverse internal services and external partners, including ownership of API contracts, data models, service expectations, and operational readiness.
• Experience building or evolving multi-tenant and extensible platforms that support rapid onboarding of new products, payment methods, incentives, or partner integrations.
• Strong observability and reliability engineering knowledge, including tracing, metrics, alerting, circuit breaking, and chaos testing.
• Understanding of secure-by-default service design, including tokenization, secrets management, PCI requirements, and PII protection.
• Interest in applying AI and agentic patterns to platform engineering in ways that are safe, reliable, and measurable.

Benefits

• Remote-first work environment with flexibility to work from home, an office, or another suitable location.
• Competitive U.S. base salary based on permanent work location:
  • $265,000–$279,500 USD in CA, NY, CT, and NJ.
  • $254,000–$268,000 USD in WA.
  • $243,000–$256,500 USD in OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, and HI.
  • $221,000–$233,000 USD in all other states.
  • New-hire equity grant and eligibility for annual equity refresh grants.
  • Market-competitive benefits tailored to the employee's location.
  • Flexible approach to where and how employees work.
  • Opportunities to collaborate with teams across engineering, product, data, infrastructure, and business functions.
  • Opportunity to work on high-scale commerce infrastructure supporting hundreds of millions of transactions annually.
  • Exposure to advanced distributed systems, event-driven architecture, AI-assisted development, and emerging agentic commerce technologies.
  • Regular opportunities to participate in cross-functional and in-person team events while maintaining a flexible work model.