Senior Security Operations Engineer

Sword Health is an AI-native healthcare company developing AI Care to improve access to physical and behavioral healthcare. The Senior Security Operations Engineer will safeguard cloud infrastructure and applications by designing detection controls, automating incident response, leading investigations, and strengthening threat intelligence and security operations through AI-enabled workflows.

Responsibilities:

• Design and continuously improve detection and alerting controls, ensuring high fidelity and contextual relevance to reduce noise and enable rapid response
• Build, test, and automate incident response playbooks and runbooks, increasing efficiency and consistency across the incident lifecycle
• Drive prioritization of alerts using a data-driven, scalable triage framework, aligned with business impact and threat context
• Lead in-depth investigations, including root cause analysis and digital forensics, and convert findings into actionable insights to strengthen detection and resilience
• Proactively engage in threat intelligence and threat hunting, identifying new tactics, techniques, and procedures (TTPs), enriching existing controls, and feeding insights into the detection pipeline
• Own incident handling from detection to resolution, collaborating with engineering, IT, and business teams to contain, eradicate, and recover from threats
• Define and maintain operational metrics for incident response, using them to drive continuous improvement in speed, accuracy, and organizational readiness

Requirements:

• 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