Staff Engineer - Smart Signals & BotD

Fingerprintempowers 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 $77Mand are backed by Craft Ventures (previously invested inTesla,Facebook,Airbnb), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva)and Uncorrelated Ventures (previously invested inRedis,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.

As a Staff Engineer for the Smart Signals team at Fingerprint, you will play a key role in leading the technical vision and execution of our smart signals, with a focus on improving our bot and AI agent detection capabilities. This role requires a systems thinker who can work well with high-stakes ambiguity and deep technical complexity.

Key Responsibilities:

• Lead and mentor a team of engineers, providing technical guidance, coaching, and support to foster their professional growth.
• Drive critical cross-team initiatives by partnering with data science, product and other engineering teams to align technical solutions with business priorities and long-term strategy
• Architect, design, develop and maintain robust and scalable web applications using Golang.
• Drive adoption of best practices, coding standards, and development methodologies across the team and organization.
• Stay up-to-date with the latest technologies and industry trends (specifically in the bot detection space), and propose innovative solutions to improve our existing systems.
• Act as a technical liaison between engineering, product management, research team and other stakeholders to drive the bot and AI agent detection capabilities of our product

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 8+ years of experience in software development, with a strong focus on backend development.
• Expertise in JavaScript/TypeScript, Node.js, and React, with a deep understanding of core principles and best practices.
• Expertise with RESTful APIs and asynchronous programming.
• Experience working with real-time data processing and APIs.
• Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficient in English for clear communication in a global, remote team.
• Experience working with real-time data processing and APIs.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving and analytical skills, with a strong attention to detail.
• Ability to lead and inspire a team, with excellent communication and interpersonal skills.

Nice to Have:

• Experience with bot and AI agent detections and related protocols
• 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.).

Compensation: 200 - 250k For cash compensation, we set standard ranges for all US based roles basedon 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.Final offer amounts are determined by multiple factors including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.