Security Automation Engineer

Alphasense; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

AlphaSense is building an AI-augmented Security Operations capability and seeks a Security Automation Engineer to design, build, and maintain automation pipelines that enable AI-driven detections, investigations, and responses at machine speed.

You will work with detection engineers, threat intelligence analysts, and AI/ML engineers to turn manual processes into reliable, observable, and testable automation workflows. Strong Python/Go, SOAR, and SIEM experience are required.

Qualifications

• 5+ years in security engineering, SecOps, or automation roles.
• Proficiency in Python and/or Go for scripting and tooling.
• Hands-on SOAR experience (Splunk SOAR, Palo Alto XSOAR, Tines, or similar).
• Experience with SIEM platforms (Splunk, Microsoft Sentinel, Google Chronicle).
• REST API integration and event-driven architecture.
• Understanding of threat detection logic (MITRE ATT&CK, kill chain).
• Familiarity with LLM/AI APIs and prompt-driven automation workflows.
• Version control and CI/CD practices (Git, GitHub Actions).
• Cloud security fundamentals (AWS, Azure, or GCP).

Responsibilities

• AI-Powered Response Automation: Design and operate SOAR playbooks and agentic AI workflows that triage, enrich, and respond to security alerts with minimal human intervention.
• Detection Engineering Support: Translate detection logic and AI model outputs into actionable, low-noise alerts. Tune thresholds and automate feedback loops to continuously improve signal quality. Build and maintain integrations between security tools (SIEM, EDR, TIP, identity platforms) and AI inference services using APIs, event streaming, and orchestration frameworks.
• Observability & Reliability: Instrument automation pipelines with metrics, logging, and alerting so the security ops team can trust and verify AI-driven decisions in production.
• Automation Testing & Validation: Write tests for playbooks and automation logic. Run purple-team exercises and tabletop simulations to validate that automated responses behave correctly under adversarial conditions.
• Cross-functional Collaboration: Partner with AI/ML, DevSecOps, and IT teams to embed security automation into infrastructure change management workflows.

Skills

Security engineering

Automation

Python

Go

SOAR

SIEM

REST API

AI/LLM familiarity

CI/CD

Cloud security

Tools

Splunk SOAR

Palo Alto XSOAR

Tines

Splunk SIEM

Microsoft Sentinel

Google Chronicle

LangChain

Docker

Kubernetes

Job description

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

About the Role

We are building an AI-augmented Security Operations capability and need a Security Automation Engineer to sit at the intersection of security engineering and AI systems. You will design, build, and maintain the automation pipelines and tooling that allow our AI-driven detections, investigations, and responses to operate at machine speed. Working alongside detection engineers, threat intelligence analysts, and AI/ML engineers, you will turn manual processes into reliable, observable, and testable automation workflows ing system

Key Responsibilities

AI-Powered Response Automation

Design and operate SOAR playbooks and agentic AI workflows that triage, enrich, and respond to security alerts with minimal human intervention.

Detection Engineering Support

Translate detection logic and AI model outputs into actionable, low-noise alerts. Tune thresholds and automate feedback loops to continuously improve signal quality.

Build and maintain integrations between security tools (SIEM, EDR, TIP, identity platforms) and AI inference services using APIs, event streaming, and orchestration frameworks.

Observability & Reliability

Instrument automation pipelines with metrics, logging, and alerting so the security ops team can trust and verify AI-driven decisions in production.

Automation Testing & Validation

Write tests for playbooks and automation logic. Run purple-team exercises and tabletop simulations to validate that automated responses behave correctly under adversarial conditions.

Cross-functional Collaboration

Partner with AI/ML, DevSecOps, and IT teams to embed security automation into infrastructure change management workflows.

Who You Are

Basic Requirements

5+ years in security engineering, SecOps, or automation roles

Proficiency in Python and/or Go for scripting and tooling

Hands-on SOAR experience (Splunk SOAR, Palo Alto XSOAR, Tines, or similar)

Experience with SIEM platforms (Splunk, Microsoft Sentinel, Google Chronicle)

REST API integration and event-driven architecture

Understanding of threat detection logic (MITRE ATT&CK, kill chain)

Familiarity with LLM/AI APIs and prompt-driven automation workflows

Version control and CI/CD practices (Git, GitHub Actions)

Cloud security fundamentals (AWS, Azure, or GCP)

Nice to Have

Experience deploying or fine-tuning ML models for anomaly detection or NLP-based log analysis

Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)

Container and orchestration experience (Docker, Kubernetes)

Certifications: CISSP, AWS Security Specialty, or equivalent

Background in threat intelligence automation or Cyber Thread Intelligence platform integration (Malware Information Sharing Platform, OpenCTI)

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.