Senior Site Reliability Engineer, Fingerprint
$152-205k
AWS
Kubernetes
Python
Redis
Go
Terraform
Prometheus
Grafana
Datadog
Senior and Expert level
Remote from US
Device intelligence platform for fraud detection
Be an early applicant
Device intelligence platform for fraud detection
201-500 employees
B2BSaaSCyber Security
Be an early applicant
$152-205k
AWS
Kubernetes
Python
Redis
Go
Terraform
Prometheus
Grafana
Datadog
Senior and Expert level
Remote from US
201-500 employees
B2BSaaSCyber Security
Company mission
To power a safe and seamless internet through device intelligence.
Role
Who you are
- 6–10 years of experience in SRE, production engineering, infrastructure, or backend engineering within primarily cloud-based environments (AWS preferred), with meaningful time spent responsible for systems in production
- A track record of owning a system end to end — you’ve designed something significant, shipped it, operated it, and lived with the consequences when it misbehaved
- Hands-on experience defining and operating against SLIs, SLOs, and error budgets — not just reading the book, but getting targets adopted and acted on
- Strong incident skills: you’ve led or been a primary responder on high-severity, customer-facing incidents, and you’ve improved how an organization learns from them
- Depth in distributed systems failure modes in high-throughput, low-latency environments — cache and database saturation, cascading failure, retry storms, capacity limits, degradation and load shedding
- Depth in cloud infrastructure fundamentals: networking, load balancing, containerization (EKS/Kubernetes), and distributed systems
- Strong hands-on experience managing infrastructure through code and configuration (Terraform or equivalent)
- Solid programming skills in Go, Python, or a comparable language — you write real, production-ready software and can ship the fix rather than only recommend it
- Fluency with observability tooling (Datadog, Prometheus, Grafana, OpenTelemetry, or similar), including instrumenting systems yourself rather than inheriting dashboards
- Hands-on experience operating Redis/ElastiCache in production — including cluster/shard management, failover behavior, memory eviction policies, and scaling strategies. This is a current skill gap on our team, so depth here is a strong differentiator
- Fluency with software engineering best practices: source control, code review, comprehensive test coverage across edge cases and errors, and safe deployment
- A high level of personal ownership and autonomy, with real experience working without clearly defined requirements
- Pragmatism over purity — you know reliability competes with delivery, can make the case for the right investment at the right time, and can say when a risk is acceptable
- Strong written and verbal communication in English — clear technical design docs, PR reviews, incident updates, and postmortems that bring engineers outside your team along on a decision
- AI-native by default. You use AI tools as a normal part of how you investigate incidents, analyze telemetry, write runbooks, and build tooling — and you have opinions, from experience, about where they help and where they don't yet
What the job involves
- Are you a systems-minded engineer who is happiest when production tells you something you didn't expect? Do you care less about how a system looks on a diagram than about how it behaves at 3am under load it wasn't designed for? Do you want to own reliability for a platform that answers millions of identification requests a day, where being wrong or being slow is a customer-visible event? If so, we have the perfect opportunity for you
- We're looking for a Senior Site Reliability Engineer to join our Infrastructure team and take ownership of how our platform behaves in production. This is a hands-on engineering role, not an oversight one — you'll write code and infrastructure, own systems end to end, and be measured by whether the things you own stay fast, available, and predictable as we grow
- You'll work across observability, incident response, capacity and performance, change safety, and the tooling that makes all of it routine. You'll define what "reliable" means for the critical paths you own, instrument them so we know before customers do, and partner with product engineering teams to make their services operable by design rather than by heroics
- Own the reliability of core production systems end to end — you instrument them, set targets for them, operate them, and are accountable for how they behave under real traffic
- Define and maintain SLIs and SLOs for the critical paths you own, wire them into dashboards and alerts, and use error budget burn as the evidence base for what gets fixed next
- Drive alert quality: raise signal, kill noise, and close the gap where customers notice a problem before our monitoring does. Anomaly and correctness detection matter as much as uptime
- Take a lead role in incident response — investigate systematically across service boundaries, restore service, and write postmortems that produce follow-ups people actually complete
- Build secure, resilient, and cost-efficient infrastructure, with explicit attention to failure modes: timeouts and retries, backpressure and load shedding, graceful degradation, and blast radius containment
- Do capacity and performance work with real data — load testing, profiling, saturation analysis, and headroom planning ahead of growth rather than after an incident
- Improve change safety: progressive delivery, automated rollback, meaningful pre-production signal, and deployment practices that make shipping boring
- Manage infrastructure through code and configuration (we primarily use Terraform), consistently applying patterns that align with our overall service architecture
- Design, write, and ship software and developer-facing tooling that reduces toil and makes operating services straightforward for the engineers who own them
- Run deliberate failure testing — game days and chaos exercises, staging first — to find the gaps and safe limits before customers do
- Partner with product engineering teams on production readiness for new and high-risk services: capacity, failure modes, rollback plans, runbooks, and on-call handoff. Teach through review rather than gatekeeping
- Participate in the on-call rotation, and improve it: better runbooks, clearer escalation, less pager fatigue for everyone in it
- Approach all engineering work with a security lens — actively looking for vulnerabilities in your own work and in peer reviews
- Act as the go-to person for hard production problems in your area, and mentor engineers through code review, pairing, and design feedback so operational knowledge doesn't silo
Our take
Digital fingerprinting is an essential process in web browsers that tracks the digital address of a device to monitor web activity. This technique facilitates the identification of fraud and spam, as well as warning signs of account takeovers. However, the success of this requires users to accept cookies, a requirement that is easy to avoid.
Fingerprint provides a digital fingerprinting tool that generates a unique identifier of browser activity without requiring the user to accept cookies. The service uses the same WebGL and canvas fingerprinting utilized by existing competitors, but instead of focusing on devices, it identifies web activity. Suspicious activity will result in the identified user being logged in a database, allowing the service to be improved for others.
With this innovative approach, Fingerprint has been able to build up an impressive client roster of over 6,000 companies, including 16% of the top 500 websites by traffic. As well as displaying sustained growth through funding rounds, the company has also continued to improve upon its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Top investors
36% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2023
$33m
SERIES C
Nov 2021
$32m
SERIES B
Total funding: $77m
Company benefits
- Competitive salary: We offer competitive salaries and equity because we believe all employees should own a part of Fingerprint.
- Flexible Time Off: To prioritize work-life balance, we even have a minimum vacation days target to encourage everyone gets the rest they need.
- Remote-first: We work asynchronously and respect time-zone differences. Choose where and when you do your work best.
- Tech: We hook you up with a MacBook so you can do your best work (you get to keep it after 4 years).
- Culture: We're a small team with a lean hierarchy where you can make a real impact in shaping the company culture. Come grow with us!
- Fun: We meet up as a company once a year (We went to Mexico City in 2023!) and teams meet up in smaller groups throughout the year.
- Grow With Us: We want you to grow with us, so we offer a $600 yearly budget that you can spend to learn new stuff.
- Personal Development: We give you the freedom to grow and experiment. Work on open-source projects and try new things and ideas.
Company HQ
Little Italy, Chicago, IL
Leadership
Valentin Vasilyev
(Co-FOunder & CTO)Valentin worked as a Software Engineer for the first 9 years of their career, before holding Team Lead roles at Evrone and Machinio.com. They left this role in March 2019 to co-found Fingerprint the following month.
Dan Pinto
(Co-Founder & CEO)Previously co-founded Machino, where they were CTO, and has experience in Software Engineering.
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