Staff Site Reliability Engineer

Fingerprint; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Fingerprint is seeking a dedicated Site Reliability Engineer to shape platform reliability across eight engineering groups. You will define SLIs/SLOs, drive incident response improvements, and coach teams to design for failure.

This role reports to the VP of Engineering and requires partnering with Cloud Platform for shared tooling. You will influence how reliability is prioritized against features, raise the bar on postmortems, alerting, and change safety, and help the organization treat

Qualifications

• Experience building reliability programs in large-scale systems.
• Strong understanding of cloud platforms and scalable architecture.
• Proven ability to drive across multiple teams to improve availability.

Responsibilities

• Define SLIs/SLOs for critical paths and make them visible to teams.
• Lead incident lifecycle improvements from detection to postmortem.
• Raise the operational bar with alert quality, change safety, and incident reviews.

Skills

SLI/SLO definitions

Error budgets

Incident response

Alerting

Postmortems

Coaching teams

Design for failure

Job description

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We have raised $77M and are backed by Craft Ventures (Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures ( Redis, Rollbar, Gradle).

About the role

You will be Fingerprint's first dedicated Site Reliability Engineer. You will work alongside our Architect on the shape of the platform, with Cloud Platform on the infrastructure that runs it, and with every product team on how they operate what they own — without direct reports. The mandate has three parts. First, make reliability measurable: define SLIs and SLOs for our critical paths, get teams to own them, and make error budgets the shared language for prioritizing reliability against features. Second, raise the operational bar: strengthen incident response, postmortem quality, alerting, and change safety so that we find out first and repeat incidents stop repeating. Third, build the mindset: coach teams to design for failure, test for it deliberately, and treat operability as part of done — so the practices outlive your involvement in any single team.

You report directly to the VP of Engineering. That placement is deliberate: reliability standards need to apply evenly across eight engineering groups, and you need the neutrality to hold every team, including infrastructure, to the same bar.

What you'll do

Make reliability measurable

• Define SLIs and SLOs for Fingerprint's critical request paths (identification, events, server APIs, client agents) with the teams that own them; make them visible, reviewed, and tied to decisions.
• Introduce error budgets as the mechanism for balancing reliability investment against feature work, and coach EMs and Staff engineers on using them.
• Own the reliability metrics that leadership uses to judge progress; be the No Nonsense voice on whether we are actually getting better.

Raise the operational bar

• Strengthen the incident lifecycle end to end: detection, response, communication, postmortem quality, and follow-up completion. Make the postmortem the most useful document a team writes.
• Close the “customers find out before we do” gap: drive alert quality, correctness anomaly detection, and escalation design across teams, working with Cloud Platform on shared tooling.
• Lead reliability reviews for high-risk changes and new services (production readiness, capacity, failure modes, rollback), teaching throug