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Security Engineer
Ovative Group. Monitor security tooling and alerts across endpoint, cloud, and network environments; triage and escalate alerts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in security operations and engineering, with a strong focus on vulnerability management, incident response, and cloud security across GCP and Azure. Proficient in scripting and automation, particularly with Python and shell scripting, while effectively communicating security concepts to diverse teams.
Highest-signal resume keywords
Security Operations ExperienceVulnerability Management ToolsCloud Security Services (GCP, Azure)Python Scripting ProficiencySecurity Certifications (CCSP, CEH, GSEC)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Vulnerability ManagementIncident ResponseLog AnalysisThreat Intelligence MonitoringCloud Security ConfigurationPython ProgrammingShell ScriptingDevSecOps PracticesCSPM PlatformsKubernetes
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsAttention to Detail
Tools & Technologies
SIEM PlatformsEDR ToolsCSPM ToolsTerraformAnsibleDockerGitHubJiraConfluenceMCP Servers
Certifications & Qualifications
CCSPCEHGSECGCIH
Industry Keywords
Cloud SecurityIAMNetwork SecurityAI SecurityOWASP GenAI SecurityNIST AI RMFData ProtectionRegulated Data SecurityBigQueryDatabricks
Tech Stack
Tools & technologiesAnsibleAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPuppetPythonShell ScriptingTerraformTypeScriptGo
About the role
Key responsibilities & impact- Monitor security tooling and alerts across endpoint, cloud, and network environments; triage and escalate alerts
- Perform log analysis and investigate security incidents
- Support incident response and business continuity plan execution, including tabletop exercises and post-incident reviews
- Support managed detection and response partner relationships and act on recommendations
- Participate in root cause analyses and implement permanent fixes
- Monitor threat intelligence feeds and turn findings into action
- Operate vulnerability scanning tools, track and remediate findings, or document exceptions
- Prioritize remediation based on risk scoring and asset criticality
- Coordinate cloud and endpoint patching and hardening with engineering and IT teams
- Support penetration testing engagements and drive remediation to closure
- Build, secure, and monitor infrastructure supporting AI adoption, including MCP servers, agent policies, proxy services, and connector integrations
- Review, harden, and productionize AI-assisted applications and automations
- Evaluate AI vendors and tools, including secure configuration, integration review, and onboarding
- Implement guardrails and monitoring for AI tools and agents, including logging, data protection, and non-human identity
- Stay current on AI security research and recommend secure tooling and design patterns
- Provide hands-on guidance and training for teams using AI tools, agents, and frameworks
- Administer and tune SIEM, vulnerability scanners, EDR, and CSPM platforms
- Build and maintain Python, Bash, or similar automation scripts
- Support cloud operations and IAM hygiene across GCP and Azure
- Document technical controls and provide evidence for SOC 2 and client security audits
- Evaluate and recommend security tools
Requirements
What you’ll need- Two-year or four-year degree in computer science, information security, technology, or related field; or 3+ years of equivalent experience
- 2–5 years of experience in security operations, security engineering, site reliability engineering, or a similar hands-on role
- Experience with vulnerability management tools and remediation workflows
- Working knowledge of GCP and/or Azure security services and configurations
- Familiarity with IAM, secrets management, and network security concepts in cloud environments
- Proficiency in shell scripting and Python, TypeScript, Go, or similar programming languages
- Hands-on experience using generative AI tools in daily work, and a strong interest in securing them
- Experience with modern DevSecOps practices and technologies (GitHub, Jira, Confluence)
- Experience operating across cloud-native security and enterprise productivity environments (GCP, Azure, M365)
- Strong analytical and problem-solving skills; high attention to detail
- Ability to communicate and champion security concepts to developers, data engineers, data scientists, and technical and non-technical leadership
- Security certifications (CCSP, CEH, GSEC, GCIH, etc.) preferred
- Experience with IaC tools such as Terraform, Ansible, or Puppet preferred
- Hands-on experience with CSPM and SIEM platforms preferred
- Experience with Kubernetes and Docker preferred
- Hands-on experience with MCP servers, agent frameworks, or applied AI security work preferred
- Familiarity with OWASP GenAI Security and NIST AI RMF preferred
- Experience securing personal information or other regulated data preferred
- Exposure to BigQuery, Databricks, or similar data platforms preferred
- Must be legally authorized to work in the United States for any employer on a full-time basis, without current or future need for visa sponsorship
Benefits
Comp & perks- Annual bonus opportunity of 15% of base salary
- Flexible work arrangement with remote work on non-office days
- Access to office spaces in Minneapolis, New York City, and Chicago
- Frequent, paid travel to Minneapolis headquarters for company and team events and in-person collaboration
- Generous paid vacation policy
- 401(k) match program
- Health insurance options, inclusive of same-sex partners
- Family formation benefits, including reimbursement options for fertility, pregnancy, and parenting needs
- Monthly stipend for mobile phone and data plan
- Sabbatical program
- Charitable giving through time and financial matching
- Shenanigan’s Day