About The Position

Software Mind is seeking qualified candidates to fill the role of Senior Security Analyst- AI & Application Security. In addition to a competitive salary rate and a positive work environment, we are committed to delivering high-quality technology solutions, we also offer: Flexible schedules An authentic work-life balance Payment in US Dollars. We are seeking a Senior Security Analyst with experience in monitoring and analyzing network and system activity to detect security threats, with hands-on expertise using tools like CrowdStrike Falcon including its Next-Gen SIEM, Data Protection, CSPM, Threat Intelligence capabilities, Qualys, and Rapid7 SIEM, CI/CD pipeline hardening cloud security in AWS and/or Azure and security architecture. Experience implementing process improvements and driving program maturity aligned with NIST CSF 2.0 is essential. Familiarity with AI governance frameworks (ISO/IEC 42001, NIST AI RMF) and experience evaluating AI and SaaS tools for security and compliance risk is strongly desired. You should also have excellent communication, problem-solving, and analytical skills, as well as the ability to work independently and as part of a team.

Requirements

  • Bachelor's degree in Computer Science, Information Security, or related field, or equivalent work experience.
  • At least 5 years of experience as a Security Analyst or similar role, with a demonstrated focus on AppSec, security operations, and/or AI security.
  • Hands-on experience with Qualys or equivalent for vulnerability scanning, asset management, and remediation tracking.
  • Proficiency with CrowdStrike platform capabilities including Next-Gen SIEM, Data Protection, CSPM, AIDR, Falcon Shield, and Threat Intelligence.
  • Experience with Rapid7 or equivalent vulnerability management platform for risk prioritization and/or incident detection.
  • Cloud security experience in AWS and/or Azure including IAM, security group configurations, logging, and posture management.
  • Experience hardening CI/CD pipelines and integrating AppSec tooling (SAST/DAST/SCA) into development workflows.
  • Experience coordinating penetration tests and managing remediation lifecycle.
  • Demonstrated ability to implement security process improvements and drive program maturity.
  • Working knowledge of NIST CSF 2.0 and how to apply framework functions to operational security programs.
  • Knowledge of security concepts, principles, and best practices, such as threat modeling, risk assessment, encryption, and authentication.
  • Knowledge of common security vulnerabilities, threats, and attack vectors, such as phishing, ransomware, DDoS, and SQL injection.
  • Excellent communication, problem-solving, and analytical skills.
  • Ability to work independently and as part of a team.
  • +90% English written and oral (at least B2 level) with excellent communication skills
  • Strong security architecture background
  • Experience with cloud platforms (Azure and AWS)
  • Familiarity with AI tooling (e.g., Databricks)
  • Solid understanding of security best practices
  • Previous experience as a security architect
  • Knowledge of secure coding practices
  • Ability to work with internal /external teams to compile evidence to satisfy compliance audits

Nice To Haves

  • Certifications such as CISSP, OSCP, CEH, GCIH, GCFA, CrowdStrike CCFA/CCFH, or AWS Security Specialty are preferred
  • AI security certifications such as AAISPM or equivalent AI governance certification are a plus.
  • Knowledge of AI/ML security considerations and AI governance frameworks including ISO/IEC 42001 and NIST AI RMF 1.0.
  • Preferred Experience in a SaaS or cloud-native software company environment.
  • Familiarity with SOC 2 Type II or ISO 27001 frameworks and their underlying control requirements.
  • Experience with security architecture review processes and threat modeling (STRIDE, PASTA, etc.).
  • Scripting or automation experience (Python, PowerShell, Bash) for security tooling integration.
  • Experience with network security, zero trust architecture, or microsegmentation.
  • Experience conducting vendor security assessments for AI and SaaS tools, including evaluation against AI governance frameworks and data handling controls.

Responsibilities

  • Lead application security testing activities including SAST, DAST, and software composition analysis (SCA) across the SDLC.
  • Coordinate and manage third-party penetration tests for web applications, APIs, and cloud infrastructure; track remediation to closure.
  • Leverage Qualys for vulnerability scanning, asset discovery, and prioritized remediation tracking across application and infrastructure layers.
  • Evaluate, implement, and manage a centralized application vulnerability management platform (such as DefectDojo) to consolidate findings from all scanning tools, penetration tests, and manual assessments into a single pane of glass view across the company's application portfolio; drive consistent tracking, prioritization, and remediation workflows across teams.
  • Integrate security testing tooling into CI/CD pipelines — including pipeline hardening, automated scanning gates, and secrets detection.
  • Conduct security architecture reviews for new features, integrations, and third-party components.
  • Operate and optimize CrowdStrike Next-Gen SIEM for threat detection, alert triage, investigation, and incident response.
  • Leverage CrowdStrike Threat Intelligence and Data Protection capabilities to identify, investigate, and contain emerging threats.
  • Use Rapid7 for vulnerability management, risk prioritization, and reporting; correlate findings with CrowdStrike telemetry for enriched context.
  • Conduct proactive threat hunting and perform root cause analysis on security incidents.
  • Develop and refine detection rules, correlation logic, and response playbooks.
  • Prepare and maintain security reports, logs, and documentation.
  • Maintain and enforce the company's AI Tool Inventory; conduct periodic reviews to validate that all IT-procured and employee-adopted AI tools are catalogued, risk-classified, and reviewed against AI policies.
  • Partner with Legal and IT to perform security reviews of AI and SaaS tools prior to onboarding; evaluate vendor security posture using UpGuard, complete AI-specific controls in vendor onboarding questionnaires, and document findings in the vendor risk register.
  • Monitor procured AI tools and IT-managed platforms for compliance with data handling, access control, and logging requirements; identify and remediate gaps against SOC 2 Type II controls and ISO/IEC 42001 AI management system alignment.
  • Support the classification and security review of internally developed and procured Copilot/AI agents using the company's agent publishing risk framework; assess data access scope, output risk, and integration security prior to production deployment.
  • Apply and maintain the MCP Server Security Baseline for AI integrations and MCP connector deployments; review connector data flows, permission scopes, and audit logging to ensure compliance with established minimum security controls.
  • Contribute to AI security awareness and policy enforcement activities, including monitoring adherence to the AI Dev Policy Controls initiative, supporting Netskope DLP policy tuning for AI-destined data flows, and escalating policy violations through appropriate channels.
  • Drive measurable improvements in vulnerability management maturity — reducing MTTR, improving SLA adherence, and enhancing risk prioritization practices.
  • Develop metrics, KPIs, and dashboards that demonstrate security program effectiveness to leadership and compliance stakeholders.
  • Support alignment with NIST CSF 2.0 and contribute to ongoing compliance initiatives including SOC 2 Type II and ISO 27001 alignment.
  • Document security processes, runbooks, and procedures to build repeatable, audit-ready workflows in Confluence.
  • Identify opportunities for tooling consolidation, automation, and operational efficiency across the security program.
  • Support SOC 2 audit lifecycle activities.
  • Help implement and standardize security responses to security questionnaires using existing and new technologies.
  • Work with CloudOps, IT, and Dev teams to ensure security measures are implemented and operating effectively.
  • Other duties as assigned.

Benefits

  • Flexible schedules
  • An authentic work-life balance
  • Payment in US Dollars
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