TL;DR
Senior Security Software Engineer (AI): Building and scaling hirify.global's next-generation security analytics infrastructure with an accent on data pipelines processing massive amounts of security telemetry. Focus on developing ML-powered detection systems and creating innovative solutions that leverage Claude to transform security operations.
Location: Currently, staff are expected to be in one of hirify.global's offices at least 25% of the time.
Company
hirify.global’s mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society.
What you will do
- Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
- Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
- Architect solutions for storing and efficiently querying large volumes of security-relevant data
- Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
- Mentor engineers and contribute to hiring and growth of the Security team
- Participate in on-call shifts
Requirements
- 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
- Track record of building and maintaining internal developer tools or security platforms
- Strong understanding of data processing pipelines and experience working with large-scale logging systems
- Experience with test-driven software development, CI/CD, Infrastructure-as-code (Terraform, CloudFormation), and query optimization for large datasets
- Experience building stable and scalable services on cloud infrastructure and serverless architectures
- Ability to write maintainable and secure code in Python
Nice to have
- Experience building security tooling from the ground up
- Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
- Background in detection engineering or security operations
- Experience with SOAR platform/automation development, Data lake / Database architecture, and API design and internal platform creation
- Track record of applying ML/AI to security problems
Culture & Benefits
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, and flexible working hours
- Lovely office space in which to collaborate with colleagues
- Work as a single cohesive team on just a few large-scale research efforts
- Focus on advancing long-term goals of steerable, trustworthy AI
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