Staff Backend Software Engineer (AI, Cybersecurity)

TL;DR

Staff Backend Software Engineer (AI, Cybersecurity): Leading the architecture and implementation of highly scalable backend services and infrastructure for a world-class Detection Engine with an accent on optimizing high-throughput, low-latency scoring. Focus on spearheading critical scaling projects, collaborating with ML Engineering, and continuously optimizing system performance and reliability.

Location: Remote (USA only)

Salary: $209,800–$246,800 USD

Company

hirify.global is at the forefront of developing cutting-edge technology to identify and thwart sophisticated email and cloud-based attacks.

What you will do

• Lead architecture, design, and implementation of highly scalable backend services and infrastructure for the world-class Detection Engine.
• Spearhead critical projects to scale components of Detection's Scoring Pipeline by 10x while maintaining or improving performance.
• Collaborate closely with ML Engineering teams to gather requirements and drive execution of infrastructure improvements.
• Mentor and coach junior engineers through 1-on-1s, pair programming, and high-quality code and design reviews.
• Continuously optimize system performance, reliability, and efficiency to meet growing demand and evolving threat landscape.

Requirements

• 8+ years of professional experience as a hands-on engineer building and scaling data-intensive products.
• Extensive experience with real-time, online, high-throughput & low-latency distributed systems.
• Proven ability to maintain 99.99% uptime for services handling 50k+ QPS.
• Strong track record of cross-functional collaboration and driving complex projects to completion.
• Experience with cloud-native architectures, microservices, and event-driven architecture (e.g., Kafka, Pub/Sub).
• Must be eligible to access controlled technology under U.S. export control laws.

Nice to have

• Familiarity with ML systems/products and distributed system technologies (e.g., Python, Golang, Kafka, Redis, Docker, Kubernetes).
• Hands-on experience optimizing high-throughput online systems.
• MS or PhD in Computer Science, Electrical Engineering, or a related field.
• Familiarity with the cybersecurity industry or fraud detection.

Culture & Benefits

• Eligible for bonus, restricted stock units (RSUs), and comprehensive benefits package.
• Individual compensation packages are based on factors unique to each candidate, including skills, experience, and qualifications.
• Committed to being an equal opportunity employer.
• Dedicated to protecting applicant privacy throughout the hiring process.

Hiring process

• Conducts video interviews and validates applicant identity at various stages of recruitment.
• Requires successful completion of pre-employment checks after a conditional offer of employment.