Job Description
At Sword, we’re building AI to heal billions and unlock humanity’s full potential.
Requirements
- Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance.
- Bachelor’s degree in Computer Science, Cybersecurity, or equivalent professional experience.
- Solid experience in cloud environments (AWS, GCP, or Azure), with strong understanding of cloud-native threats.
- Proficiency in scripting languages (e.g., Python, Bash) for automation and tooling development.
- Hands-on experience with SOC tools and platforms, such as SIEM (Splunk, Sentinel, etc.), SOAR, EDR/XDR, and log management.
- Strong understanding of incident containment and eradication strategies, with proven ability to coordinate response with technical teams.
- Familiarity with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001).
- Excellent analytical, critical thinking, and problem-solving skills.
- Ability to consume and synthesize intelligence about actors, techniques or situations to identify emerging risk scenarios.
- Proficiency in process formulation and improvement.
- Background in threat modeling, adversary emulation, and risk-based alert tuning.
- Strong communicator with the ability to explain security risks and actions to both technical and non-technical audiences.
- Proven track record of leading cross-functional efforts in high-pressure situations.
- Ability to foster collaboration across InfoSec, IT, and engineering teams.
- Forensics experience, investigating incidents and preserving digital evidence.
- Leverage AI to automate and optimize security operations workflows, including alert triage, enrichment, and incident classification.
- Design and maintain AI-assisted runbooks, ensuring consistency, auditability, and human-in-the-loop validation for critical decisions.
- Identify opportunities to improve SOC efficiency through AI-driven automation, while maintaining strong controls and avoiding over-reliance on unverified outputs.
- Integrate security tooling with AI platforms and APIs to streamline investigation, response, and reporting processes.
- Enhance vulnerability management and incident response workflows through intelligent prioritization, correlation, and contextualization of findings.
- Continuously evaluate the accuracy, reliability, and security implications of AI-assisted decisions in operational environments.
Ready to Apply?
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