Who you are

• 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
• 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.)
• Backend development: Golang (preferred) or equivalent
• Data analytics/processing: ClickHouse, dbt, Apache Superset
• Infrastructure: AWS, DynamoDB, Redis, Elasticsearch

What the job involves

• We are seeking an experienced Golang Software Engineer for our Mobile team to be part of the development of end-to-end fraud detection solutions
• This role combines backend software development with data analysis related to our mobile sdk
• 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
• Collaborate with the Mobile Product team to improve fraud detection signals, including Android emulator detection, Frida detection, Mobile 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

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.