The Mission

Your mission as Senior Engineer is to drive the improvement of the platform, making the product extremely fast, scalable, reliable and easy to operate. The results will be directly reflected in the fraud prevention metrics, dependent business variables (revenue, margin) as well as valuation of the company and your personal stock option pool. Your code will be used to process data from more than 50M devices, creating decisions within milliseconds on top of thousands of events per second.

You will collaborate with other engineers, founders, product managers, research team
(building the ML/AI models), platform team and other fraud-fighters in the company.

General

• Seniority: 5+ years experience in a high-tech/startup universe

• Employment Type: Employee or Contractor
  (just technicality, the spirit is that it’s “Engineer, Fraud-Figher & Shareholder“ anyway)

• Schedule: Full-time

• Work Arrangement: Full remote possible, with availability for in-person gatherings, collaboration sessions as well as team-buildings

Responsibilities

• Design, implement, optimize, monitor

  • Data retrieval and storage

  • Data processing pipeline (stream processing, batch processing)

  • … any other relevant code to catch fraudsters

• Collaborate with product managers, research, and other engineers to understand requirements and translate them into well-defined technical specification.

• Ownership of ensure the scalability, reliability, and performance of the product

• Mentor and guide other engineers

• Ensure compliance with relevant data protection regulations and standards

Experience

• Experience in the US fintech environment

• Experience with event-driven architecture (asynchronous, message passing, …)

• Experience designing, building and operating large-scale production systems (Peta or at least TB scale)
  (data storage with fault-tolerance, sharding, auto-scaling)

• Experience with both high-level and low-level programming languages

• Experience with building and operating distributed architecture (observability, ….)

  • Foundational algorithms/papers used in this space (map reduce, consensus, fault tolerance, synchronization, leader election, gossip …)

  • Message queues/buses (Kafka/NATS/….)

  • Observability (logs, telemetry, tracing, …)

  • Orchestration (kubernetes)

Attitude

• Passion for building great software, that solves real problem of real people

Skills (to be verified)

• Education/skills/understanding equivalent to Bachelor’s degree in Computer Science
  (acquired by any means)

• Excellent communication and presentation skills (expressing clearly, maximizing information to data ratio)

• Strong problem-solving skills and the ability to think critically

System of values compatible with ThreatMark (applies for all positions):

• Extreme Ownership: Taking initiative, driving results, and passionately owning project outcomes

• Deep Understanding: Preference of deeply understanding topics and systems from first-principles over opinions, guesses and superficial

• Integrity: Consistently adhering to strong moral and ethical principles, acting with honesty, accountability and transparency

• Collaboration: Building positive, efficient relationships, expressing in precise and efficient way

• Innovation and Adaptability: Continuously seeking improvement, being open to new ideas, and making data-driven decisions

Nice to Have:

• Experience with cloud platforms such as AWS

• Knowledge of statistical analysis and ML

• Experience in the Cybersecurity domain

• Previous experience in a startup environment

• Leadership skills and passion to help other people perform at their best