TL;DR

Security Software Engineer (AI): Build and scale next-generation security analytics infrastructure including data pipelines and ML-powered detection systems with an accent on security telemetry processing, scalable data storage, and AI-enhanced detection. Focus on designing and optimizing large-scale security data pipelines, developing ML detection capabilities, and leading cross-functional security initiatives.

Location: Hybrid with at least 25% office presence in San Francisco, USA

Salary: $320,000 - $405,000 USD annually

Company

%hirify_global% is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems to ensure safe and beneficial AI for society.

What you will do

Design and implement scalable data pipelines for security telemetry ingestion and processing
Build and optimize ML-powered detection systems including UEBA and anomaly detection
Architect efficient storage and querying solutions for large security datasets
Create prototypes and proof-of-concepts for new security tools and analytics
Leverage AI models like Claude to enhance detection and response capabilities
Collaborate with security and infrastructure teams and mentor engineers

Requirements

7+ years of software engineering experience focused on security, infrastructure, or data pipelines
Bachelor's degree or equivalent experience
Experience with test-driven development, CI/CD, and infrastructure-as-code (Terraform, CloudFormation)
Strong Python coding skills and experience building scalable cloud services
Ability to lead technical projects and cross-functional security initiatives
Outstanding communication skills and systems thinking in complex environments

Nice to have

Experience building security tooling and monitoring solutions (SIEM, EDR)
Background in detection engineering or security operations
Experience with SOAR platforms, data lake/database architecture, and API design
Applying ML/AI to security problems and scaling security operations in high-growth environments

Culture & Benefits

Competitive compensation including equity and benefits
Visa sponsorship and immigration support available
Flexible working hours and hybrid work policy
Generous vacation and parental leave
Collaborative environment with frequent research discussions