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.