Fingerprint Logo

Fingerprint

Golang Software Engineer - Smart Signals team

Reposted 16 Days Ago
Remote
Hiring Remotely in USA
120K-170K
Mid level
Remote
Hiring Remotely in USA
120K-170K
Mid level
Develop and implement scalable backend systems for fraud detection, analyze datasets, and collaborate on feature improvements with cross-functional teams.
The summary above was generated by AI

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

For US-based employees, the cash compensation range for this role is $120,000 – $170,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.


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

Top Skills

Apache Superset
AWS
Clickhouse
Dbt
DynamoDB
Elasticsearch
Go
Redis

Similar Jobs

4 Minutes Ago
Remote or Hybrid
United States
64K-85K Annually
Mid level
64K-85K Annually
Mid level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Conduct investigations into allegations of employee misconduct, including fraud and regulatory infractions. Collaborate with various teams to ensure compliance and report findings.
Top Skills: ExcelMicrosoft PowerpointMicrosoft Word
An Hour Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
As a People Operations Partner, you will advise leaders on team effectiveness, design and implement HR programs, and support employee engagement and development.
Top Skills: AIAutomationHr Tools
2 Hours Ago
Easy Apply
Remote
Texas, USA
Easy Apply
125K-160K
Mid level
125K-160K
Mid level
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
The Territory Manager will drive new business growth, manage customer relationships, execute sales strategies, and ensure customer success in Texas, focusing on ranchers and the agricultural sector.

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account