we are looking for a SecOps Detection & Response.
As a Security Operations Analyst, Detection & Response, you will help protect Aidocs cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring.
This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization respond quickly and effectively to security events.
You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of clinical AI platform.
Responsibilities:
Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact.
Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required.
Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning.
Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring.
Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations.
Requirements: 2+ years of experience in Security Operations, SOC analysis, detection and response, incident response, cloud security operations, or a similar hands-on security role.
Hands-on experience with SIEM-based investigations, including alert triage, log analysis, event correlation, evidence review, case prioritization, and escalation.
Experience working with security telemetry from cloud platforms, identity providers, endpoints, SaaS systems, network tools, application logs, and production environments.
Familiarity with cloud-native environments, including IAM, storage access, workloads, Kubernetes, containers, APIs, logging, monitoring, and CI/CD pipelines.
Understanding of common attack techniques, including credential compromise, phishing, privilege escalation, suspicious API activity, malware, data exposure, lateral movement, and cloud misconfigurations.
Experience with identity and endpoint investigation, including SSO, MFA, service accounts, privileged access, EDR alerts, and suspicious user or device activity.
Ability to use query or scripting languages such as KQL, SPL, SQL, Python, Bash, or similar.
Familiarity with incident response workflows, case management, evidence collection, remediation tracking, and post-incident review.
Strong analytical judgment, with the ability to separate false positives from real risk and explain findings clearly.
Ability to work independently, document investigations clearly, and escalate issues with the right level of urgency.
Strong communication skills and the ability to work with Security, IT, DevOps, R&D, Product Security, Compliance, and business stakeholders.
Close attention to detail, strong ownership, and comfort working in a fast-moving production environment.
This position is open to all candidates.