Description
We are seeking an AI-Native Cybersecurity Engineer to join our team in San Jose or San Francisco, CA. This is a hybrid role requiring 3 days in the office per week.
As an AI-Native Cybersecurity Engineer, you will work on building AI-native capabilities for cybersecurity operations. You will design, implement, test, and operate a defined service, data pipeline, or platform component supporting AI-enabled security detection and investigation.
Responsibilities:
- Design, implement, test, and operate a defined service, data pipeline, or platform component supporting AI-enabled security detection and investigation.
- Build reliable backend services, APIs, and automation workflows, primarily using Python and other modern engineering technologies.
- Process and normalize security telemetry such as endpoint events, network activity, authentication records, or cloud audit data.
- Contribute to correlation, enrichment, retrieval, and context-generation capabilities that produce useful and explainable security findings.
- Prototype focused AI features using existing models, retrieval systems, embeddings, or agent frameworks.
- Create measurable tests and evaluations for accuracy, reliability, latency, cost, and operational usefulness.
- Participate in technical design reviews, code reviews, automated testing, CI/CD, documentation, and production-readiness activities.
- Troubleshoot issues across software, data, and service integrations and help improve system observability and reliability.
- Partner with product managers, security SMEs, researchers, and engineers to clarify requirements and deliver incremental improvements.
- Participate in production support or on-call responsibilities, where applicable to the team’s operating model.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field with 4+ years of professional software engineering experience.
- Experience developing backend services, APIs, data-processing systems, or distributed software.
- Experience with Python and Python-based systems.
- Experience with software development fundamentals, including design, testing, debugging, code review, version control, and CI/CD practices.
- Experience working with structured or semi-structured event data, logs, metrics, or telemetry.
Preferred Qualifications:
- Experience building data ingestion, parsing, normalization, enrichment, or correlation pipelines.
- Familiarity with distributed storage, data lakes, warehouses, streaming systems, or event-driven architectures.
- Experience with security operations, SIEM, TDIR, threat detection, threat hunting, triage, or incident response workflows.
- Experience with retrieval-augmented generation, vector search, embeddings, knowledge graphs, or model integrations.
- Experience designing evaluations for AI/ML systems, including quality, safety, latency, cost, and user trust.
- Experience with cloud platforms, containers, Kubernetes, observability, or production service operations.
- Familiarity with AI-assisted software development or agentic engineering tools.
- Experience developing secure, privacy-conscious, and resilient enterprise software.
- Strong written and verbal communication skills and the ability to collaborate across engineering and non-engineering disciplines.
- Ability to learn security operations concepts and apply feedback from security experts to software designs.
Benefits:
- Medical, dental, and vision insurance
- 401(k) plan with Cisco matching contribution
- Paid parental leave
- Short and long-term disability coverage
- Basic life insurance
- Paid time away (vacation, holidays, sick time)
- Optional 10 paid days per full calendar year to volunteer
Salary Range: $155,000.00 - $222,600.00