Job description
Fingerprint empowers developers to stop online fraud at the source.
We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (20K stars on GitHub).
We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb ), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.
We are seeking an experienced Golang Software Engineer to be part of the development of end-to-end fraud detection solutions. This role combines backend software development with data analysis. You will design and implement scalable, high-performance backend systems, ensuring smooth integration with other components. You’ll take ownership of features from concept to final deployment, working closely with cross-functional teams to deliver reliable and robust solutions.
A key aspect of this role involves analyzing large datasets of traffic to uncover patterns and detect fraudulent activity. You will leverage engineering techniques to process and manage large traffic datasets efficiently, find new ways to detect fraud, and implement them in backend code.
Types of Projects and Impact:
- Collaborate with the Smart Signals Product team to improve fraud detection signals, including browser bot detection, VM detection, VPN detection, and more.
- Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements.
- Build and enhance backend systems for real-time data processing.
- Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects.
- This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions.
Required Skills:
- BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience.
- 3+ years of experience in backend development
- Strong experience in GoLang.
- Strong experience in designing, developing, and maintaining scalable backend systems.
- Experience working with real-time data processing and APIs.
- Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
- Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
- Proficient in English for clear communication in a global, remote team.
Nice to Have:
- Practical experience with analytical storage systems like ClickHouse, Snowflake, BigQuery, Redshift, or Databricks.
- Experience with data transformation frameworks like dbt or other data pipeline tools.
- Experience with the Python data analytics stack (NumPy, Pandas, Jupyter, etc.).
Technologies You Will Work With:
- Backend development: Golang (preferred) or equivalent.
- Data analytics/processing: ClickHouse, dbt, Apache Superset.
- Infrastructure: AWS, DynamoDB, Redis, Elasticsearch.
Compensation Range
$120k - 170k For cash compensation, we set standard ranges for all US based roles based on function, level and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.
Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions.
Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.
We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.
If you are applying as a resident of California, please read our CCPA notice here
If you are applying as a resident of the EU, please read our GDPR notice here
