Senior Principal Software Engineer

Our Client…

Our client focuses on revolutionizing fraud prevention and protecting digital transactions through advanced machine learning and behavioral intelligence technologies.

Is looking for: Senior Principal Software Engineer

As a Senior Principal Software Engineer, your primary objective will be to enhance our platform, ensuring that our product is exceptionally fast, scalable, reliable, and easy to manage. Your efforts will have a direct impact on fraud prevention metrics, key business variables (such as revenue and margin), as well as the overall valuation of the company and your personal stock options.

Key Responsibilities

Design and Implementation:

• Architect and optimize data retrieval and storage solutions.
• Develop and maintain data processing pipelines (including both stream and batch processing).
• Create any additional relevant code to effectively combat fraudulent activities.

Collaboration:

• Partner with product managers, researchers, and fellow engineers to gather requirements and translate them into clear technical specifications.

Ownership:

• Ensure the scalability, reliability, and performance of our product.
• Mentor and guide junior engineers to foster their development.

Compliance:

• Ensure adherence to relevant data protection regulations and standards.
• Preferred Qualifications

Experience:

• Proficiency in event-driven architecture (asynchronous messaging, etc.).
• Experience in designing, building, and operating large-scale production systems (Peta or TB scale) with features like fault tolerance, sharding, and auto-scaling.
• Familiarity with both high-level and low-level programming languages.
• Experience with distributed architecture (observability aspects).
• Proficiency with message queues/buses (e.g., Kafka, NATS).
• Experience with observability tools (logs, telemetry, tracing).
• Familiarity with orchestration tools (e.g., Kubernetes).

Nice to Have:

• Experience with cloud platforms such as AWS.
• Knowledge of statistical analysis and machine learning techniques.
• Background in the cybersecurity domain.
• Leadership skills with a passion for helping others excel.
• Education equivalent to a Bachelor’s degree in Computer Science or related fields.
• Excellent communication and presentation skills to convey complex ideas clearly.
• Strong problem-solving abilities and critical thinking skills.

If you are excited about leveraging your expertise in a dynamic team environment that is committed to making a significant impact in the field of cybersecurity through innovative solutions, we encourage you to apply.