About Inscribe

At Inscribe, we're on a mission to catch fraud with confidence. In 2017, we set out to build the first document fraud detection product. Today, we process millions of applications each year and work with many of the leading fintechs and banks across the U.S. We believe the game of cat-and-mouse in fraud requires a fundamentally new approach. With care for our customers, attention to detail, and grounded execution, we’re reimagining how fraud is detected and prevented.

Inscribe is trusted by leading banks and fintechs, including Coinbase, Plaid, Bluevine, and Ramp. Inscribe is backed by Threshold Ventures, Uncork Capital, Y Combinator, Crosslink Capital, and Foundry, and is headquartered in San Francisco, CA.

The Opportunity

Inscribe is scaling quickly, and our platform sits at the heart of our customers’ fraud workflows. We’re hiring a Staff Systems Engineer to take ownership of the systems and infrastructure that support our real-time API product and internal services.

This role blends DevOps, site reliability, cloud architecture, backend engineering, and datastore optimization. You'll work across the entire stack to drive performance, observability, scalability, and operational rigor. You'll be instrumental in ensuring that as our customer base and data volumes grow, our systems stay fast, stable, and cost-efficient.

We’re looking for a high-agency engineer who can evaluate what exists today, identify what won’t scale, and execute improvements aligned with our business goals. This is a hands-on role for someone who thinks in systems, builds with urgency, and raises the engineering bar across the company.

Responsibilities

• Lead design, implementation, and scaling of core infrastructure across compute (ECS), data (Postgres, Redis), observability (Datadog, Grafana), and networking layers

• Optimize deployment pipelines, test environments, and release automation to improve developer efficiency and reduce operational risk

• Monitor and improve production system uptime, latency, and cost performance

• Collaborate with engineers to tune service performance, database access patterns, and caching strategies

• Own capacity planning, system reliability, and on-call best practices — proactively preventing incidents, not just reacting to them

• Drive architectural decisions for high-throughput API services, balancing long-term scalability with short-term velocity

• Contribute to tooling and processes that foster operational excellence across the engineering organization