Base Salary
$185k - $240k/yr
Responsibilities
- Define and build secure, scalable paved-road integration patterns connecting AI-enabled applications and internal tools to production systems.
- Design and implement reusable APIs, gateways, middleware, and event-driven integration components.
- Partner with Forward Deployed AI Engineers and application teams to move prototypes into production-ready supported services.
- Approve, revise, or reject integration designs that access protected production boundaries based on operational safety and reliability standards.
- Define and operate safeguards including authentication, authorization, workload isolation, rate limiting, auditability, capacity management, observability, alerting, graceful degradation, and safe failure modes.
- Establish technical standards and governance for AI-enabled access to production and operationally critical systems.
- Create reference implementations, documentation, and developer experiences that encourage secure platform adoption.
- Ensure platform components and integrations have clear ownership, operational expectations, and sustainable support models.
Requirements
- 8+ years of software engineering experience, including building and operating production applications at meaningful scale.
- Deep experience designing developer-facing APIs and distributed systems.
- Strong application engineering judgment and a record of translating product, customer, or operational needs into maintainable production software.
- Experience building cloud services and event-driven systems using technologies such as Go, Protobuf, and Kafka.
- Experience designing for reliability, scale, and safe handling of high-volume or unpredictable traffic.
- Strong understanding of authentication, authorization, rate limiting, observability, and operational safety in production applications.
- Collaborative and pragmatic technical leadership skills, including setting high production-readiness standards while helping teams make progress.
- Comfort using AI-assisted development tools and validating, hardening, and operating the resulting systems.
- Experience with abuse-resistant or public-facing APIs, platform engineering, API gateways, service meshes, developer platforms, security engineering, application security, site reliability engineering, incident response, technical governance, internal tools, data systems, AI-enabled applications, logistics, autonomous systems, or other high-reliability services is preferred.
Benefits
- Starting cash range of $185,000-$240,000 per year.
- Potential equity compensation, overtime pay, discretionary annual or performance bonuses, and sales incentives.
- Medical, dental, and vision insurance and paid time off may be included.
Tech Stack
About Zipline
Zipline was founded to create the first logistics system that serves all humans equally. Our aim is to solve the world’s most urgent and complex access challenges. Leveraging expertise in robotics and autonomy, Zipline designs, manufactures and operates the world’s largest automated delivery system. Zipline serves tens of millions of people around the world and is making good on the promise of building an equitable and more resilient global supply chain. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart and enabling leading healthcare providers to bring care into the home in the United States, Zipline is transforming the way goods move. By transitioning to clean, electric, instant logistics, we can decarbonize delivery, decrease road congestion, and reduce fossil fuel consumption and air pollution, while providing equitable access for billions of people. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Zipline is inspiring people, governments, and businesses to imagine what is possible when goods can move as seamlessly as information. To join the team, check out our career page: https://flyzipline.com/careers/