Senior Infrastructure Engineer (AI Detection and Response)

TL;DR

Senior Infrastructure Engineer (AI Detection and Response): Architecting and building next-generation AIDR services for processing millions of AI security events and managing petabytes of critical AI data with an accent on enterprise-grade solutions that scale, reusable platform libraries, and operational excellence. Focus on designing highly scalable microservices, comprehensive testing for reliability/accuracy/performance, and driving root cause analysis for production issues in complex distributed systems.

Location: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations: Sunnyvale, CA, Austin, TX, or Redmond, WA. Must be based in the USA.

Salary: $140,000 - $215,000 per year

Company

hirify.global is a global leader in cybersecurity, protecting organizations with the world’s most advanced AI-native platform.

What you will do

• Design and implement highly scalable microservices, frameworks, and platform components.
• Architect enterprise-grade solutions that scale seamlessly from thousands to millions of requests per second.
• Develop comprehensive tests focusing on reliability, accuracy, and performance.
• Conduct thorough code and design reviews with a focus on testability, security, and scalability.
• Drive operational excellence through rapid issue resolution, thorough root cause analysis, and proactive system improvements.
• Mentor team members on secure coding practices, testing methodologies, and cloud-native development.

Requirements

• 10+ years of software development experience in building enterprise-grade products.
• 5+ years of experience in developing microservices that run in cloud-native environments.
• Strong computer science fundamentals (algorithms, data structures, distributed systems).
• Expertise in at least one cloud-native programming language: Go, Python, or Java.
• Deep understanding of cloud architectures, microservices, Web Services (REST, gRPC, Protocol Buffers), and data storage systems (PostgreSQL, Redis).
• Proven track record of deploying services to at least one of cloud environments (AWS, OCI, GCP, Azure).
• Strong debugging skills with the ability to troubleshoot complex distributed systems and experience with cloud monitoring, profiling, and optimization tools.
• Experience with GPU Cluster and Inference Workload Management.
• English: B2 required.
• Work format: Hybrid, 2-3 days on-site in Sunnyvale, CA, Austin, TX, or Redmond, WA.
• Location: Must be based in the USA.

Nice to have

• Previous experience in cybersecurity companies or security-focused products.
• Deep understanding of AI/ML security challenges, threats, and mitigation strategies.
• Experience with real-time data processing systems (Kafka, Pulsar, Splunk).
• Contributions to open source libraries and/or frameworks.

Culture & Benefits

• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge, plus paid parental and adoption leaves.
• Professional development opportunities for all employees.
• Vibrant office culture with world-class amenities.
• Global Great Place to Work Certified™.
• US-specific benefits: includes health insurance and 401k.