Hiring: Staff Platform Software Engineer, AI Enablement Company: Zipline Location: South San Francisco, CA Job Posted Time: 2026-09-10 10:33:46 Target Skills & Keywords : Event-Driven, Kafka, Protobuf About the job Experience: •8+ years of software engineering experience, including experience building and operating production applications at meaningful scale. Required Skills: •This is a hands-on role for an experienced application engineer who enjoys turning ambiguous, cross-functional problems into well-designed systems that other teams can confidently build upon. •Define and build the “paved road” for connecting AI-enabled applications and internal tools to production systems, including services that support delivery operations and customer experience. •Design and implement reusable APIs, gateways, middleware, and integration patterns that are scalable, secure, observable, and straightforward for engineers to adopt. •Partner early with Forward Deployed AI Engineers on high-impact projects, helping them select production-ready integration patterns and move successful prototypes into supported services. •Own the technical decision for integrations that access protected production boundaries: approve the proposed design, require a safer redesign, or decline an integration that cannot meet Zipline’s standards for operational safety and reliability. •Define and operate the platform safeguards that protect production systems—including authentication, authorization, workload isolation, rate limiting, auditability, capacity management, observability, alerting, graceful degradation, and safe failure modes. •Establish clear technical standards and governance for how AI-enabled tools access production and operationally critical systems. •Create reference implementations, documentation, and developer experiences that make the secure, supported path the easiest path to adopt. Qualifications: •Deep experience designing developer-facing APIs and distributed systems. •Strong application engineering judgment, with a track record of translating product, customer, or operational needs into maintainable production software. •In-depth knowledge of authentication, authorization, rate limiting, observability, and operational safety in production applications. •A collaborative, pragmatic approach to technical leadership: you set a high bar for production readiness while helping teams make progress. •Comfort using AI-assisted development tools as part of your engineering practice, along with the judgment to validate, harden, and operate the resulting systems. •Background in security engineering, application security, site reliability engineering, or incident response. •What Else You Need To Know Compensation: •$185,000 - $240,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!