Production Engineer

• architecting and shipping stakeholder-facing AI workflow solutions that are reliable, observable, secure, and maintainable
• solving the hardest integration problems
• defining solution-layer reference architectures and standards
• ensuring multiple concurrent engagements execute with consistent technical quality
• translating ambiguous workflow needs into scalable technical designs and production-ready implementations
• owning reference architecture for the solution layer across engagements
• leading the design for complex integrations
• conducting threat modeling and applying privacy-by-design when necessary
• building or guiding critical-path components and reference implementations
• creating reusable libraries where leverage is high
• ensuring that platform modules follow the rules for interfaces
• validating schemas, pinning versions, checking compatibility, mapping dependencies, and managing changes
• conducting readiness reviews for high-impact releases
• partnering with Core AI/Research & Platform to improve module usability and integration fit
• identifying recurring integration issues and proposing improvements for the platform
• planning for cross-brand compatibility when the platform changes
• creating playbooks for upgrades and deprecations
• standardizing reliability patterns across the portfolio
• ensuring end-to-end instrumentation standards are met
• leading production hardening on critical engagements
• capturing knowledge and maintaining the quality and consistency of the Solution Bundle
• building and maintaining shared scaffolding to accelerate repeat engagements

Principal Production Engineer

• Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.
• Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.
• Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.
• Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.
• Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.
• Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE.
• Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom.
• Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done.

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Principal Production Engineer

Software Engineer, Production Engineering