Senior Staff Software Engineer – AI/Security Platform

Jobtailor; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in the United States (San Jose area) seeks a senior AI security engineer to design and build distributed security data platforms, integrating detection signals, context, and foundation models to spot active and impending threats. You will prototype AI features for decoding events and system environments, and collaborate with security SMEs to validate real-world utility.

You will develop an AIDevOps pipeline for rapid experimentation with data, knowledge bases, models, and context

Qualifications

• Bachelor's degree with 12+ years of related experience or Master's with 8+ years.
• Understanding of security operations concepts, including attack surface management, threat analytics, detection, triage, investigation, and response.
• Familiarity with endpoint logs, network traffic, authentication events, and cloud audit trails.
• Experience implementing data platforms and/or data lakes and warehouses.
• Experience building and maintaining pipelines for ingesting, parsing, and normalizing large-scale security telemetry.
• Expertise in distributed systems design and implementation, emphasizing storage systems and storage access layers.
• Consistent record building scalable backend services, APIs, and automation workflows in Python.
• Proficiency with CI/CD pipelines, GitHub/GitLab, Jira, and automated testing frameworks.
• Experience designing agent systems that perform coding tasks.
• Experience partnering with product managers, security SMEs, and engineers.
• Familiarity with TDIR/SIEM architectures, correlation searches, and threat hunting support systems.
• Experience automating SecOps workflows and building scalable, resilient detection infrastructure.
• Exposure to event storage systems or generating custom cybersecurity embeddings.
• Hands-on experience developing RAG and GraphRAG pipelines with databases such as FAISS or Pinecone.
• Skill crafting, testing, and optimizing training workloads for large language or special-purpose models such as GNNs, GCNs, and GATs.
• Capability to design experiments evaluating model accuracy, usability, performance, and cost.
• Background or interest in intuitive AI-assisted analyst workflows focused on usability, trust, and decision support.

Responsibilities

• Design and build distributed systems and data platforms for security operations.
• Prototype and test AI features for decoding events and system environments and predicting anomalies and threats.
• Collaborate with security SMEs and security researchers to validate real-world utility.
• Develop an AIDevOps pipeline for rapid experimentation with data, knowledge bases, models, and context memory.
• Establish clear, measurable success criteria to evaluate iterations.
• Architect and build a distributed platform correlating trillions of events and signals.
• Synthesize events and signals into explainable findings and alerts for triage resolution agents.
• Build a key capability of the Agentic SOC.
• Collaborate with product and platform teams to co-design AI-enhanced threat detection and prediction workflows.
• Contribute to the core architecture powering AI-native security operations and trusted enterprise automation at Splunk and Cisco.

Skills

Distributed Systems Design

Python Backend Development

CI/CD Pipeline Implementation

Data Platform Development

Threat Analytics and Response

Security Operations Concepts

Large-Scale Security Telemetry

APIs and Automation Workflows

Event Storage Systems

RAG and GraphRAG Pipelines

Education

Bachelor's Degree

Master's Degree

Tools

FAISS

Pinecone

GitHub

GitLab

Jira

Job description

• Design and build systems combining security-relevant data, detection signals, context, and foundation models to spot and predict active and impending threats
• Prototype and test AI features for decoding events and system environments and predicting anomalies and threats
• Work with security SMEs and security researchers to validate real-world utility
• Develop an AIDevOps pipeline for rapid experimentation with data, knowledge bases, models, and context memory
• Establish clear, measurable success criteria to evaluate iterations
• Architect and build a distributed platform correlating trillions of events and signals
• Synthesize events and signals into explainable findings and alerts for triage resolution agents
• Build a key capability of the Agentic SOC
• Collaborate with product and platform teams to co-design AI-enhanced threat detection and prediction workflows
• Contribute to the core architecture powering AI-native security operations and trusted enterprise automation at Splunk and Cisco

Requirements

• Bachelor's Degree with 12+ years of related experience or Master's with 8+ years of related experience
• Understanding of security operations concepts, including attack surface management, threat analytics, detection, triage, investigation, and response
• Familiarity with endpoint logs, network traffic, authentication events, and cloud audit trails
• Experience implementing data platforms and/or data lakes and warehouses
• Experience building and maintaining pipelines for ingesting, parsing, and normalizing large-scale security telemetry
• Expertise in distributed systems design and implementation, emphasizing storage systems and storage access layers
• Consistent record building scalable backend services, APIs, and automation workflows in Python
• Proficiency with CI/CD pipelines, GitHub/GitLab, Jira, and automated testing frameworks
• Experience designing agent systems that perform coding tasks
• Experience partnering with product managers, security SMEs, and engineers
• Familiarity with TDIR/SIEM architectures, correlation searches, and threat hunting support systems
• Experience automating SecOps workflows and building scalable, resilient detection infrastructure
• Exposure to event storage systems or generating custom cybersecurity embeddings
• Hands‑on experience developing RAG and GraphRAG pipelines with databases such as FAISS or Pinecone
• Skill crafting, testing, and optimizing training workloads for large language or special‑purpose models such as GNNs, GCNs, and GATs
• Capability to design experiments evaluating model accuracy, usability, performance, and cost
• Background or interest in intuitive AI‑assisted analyst workflows focused on usability, trust, and decision support

Core Competencies

Demonstrates expertise in designing and building distributed systems for security operations, with a strong focus on AI-enhanced threat detection and prediction. Proficient in developing scalable backend services and automation workflows, while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

• Distributed Systems Design
• Python Backend Development
• CI/CD Pipeline Implementation
• Data Platform Development
• Threat Analytics and Response

ATS Optimization Keywords

Hard Skills

• Security Operations Concepts
• Data Lakes and Warehouses
• Large-Scale Security Telemetry
• APIs and Automation Workflows
• Event Storage Systems
• RAG and GraphRAG Pipelines
• Training Workloads for Models
• Model Evaluation Experiments
• Threat Hunting Support Systems
• Agent Systems Design

Soft Skills

• Collaboration with Product Managers
• Communication with Security SMEs
• Problem‑Solving in Security Context

Industry Keywords

• Attack Surface Management
• Threat Detection
• Triage and Investigation
• Cybersecurity Embeddings
• AI‑Assisted Analyst Workflows

Tools & Technologies

• GitHub
• GitLab
• Jira
• Automated Testing Frameworks
• FAISS
• Pinecone