Tech Lead and Manager (TLM), Production Engineering

Engg; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Ramp is seeking Production Engineers who own infrastructure end to end. You will write production code, operate critical systems, and drive reliability across compute, storage, messaging, and observability at scale.

Join a team that moves fast, champions cellular architecture, and partners with product and AI initiatives to deliver enterprise-grade performance and security in the US market from New York. Expect on-call rotations and cross-team reviews that shape platform standards and cost

Responsibilities

• Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability.
• Drive architectural changes and own the path to resolve reliability or scalability issues.
• Partner with product teams in design, reviewing architectures and embedding golden paths.
• Scale Ramp by advancing cellular architecture to reach international markets with strong SLAs.
• Enable AI-native engineering by defining reusable AI infrastructure patterns.
• Build developer tooling and self-service infra so teams estimate cost and performance.
• Participate in on-call rotation and turn incidents into root-cause improvements.
• Lead cross-team architectural reviews and own company-wide reliability initiatives.

Job description

ABOUT RAMP

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

ABOUT PRODUCTION ENGINEERING

Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable - and we do that by being embedded in the problems, not adjacent to them.

A few things that define how we operate:

• One team, one company, one objective. There is no "infra team" and "product team" - there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle.
• If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale - that's ours to lead, regardless of where it lives in the stack.
• We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done - not until our ticket is closed.
• We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves - the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job.
• We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing - the discipline that makes sure our effort compounds toward what actually matters.

You cannot build the future of finance on shaky infrastructure.

OUR TEAMS

Production Engineering is organized into teams - but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does.

Right now, we operate across four areas:

• Compute - the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale
• Storage - databases, caching, object storage, and the data infrastructure that underpins everything
• Workflows & Messaging - the systems that power Ramp's financial workflows and event-driven architecture
• Internal Infrastructure - the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs

WHAT YOU'LL DO

Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization - not just within your team. Day to day, you will:

• 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.

WHAT WE LOOK FOR

We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for:

• You cannot walk past something broken... and eliminat