Security Solutions Engineer

Nebius Group

Security Solutions Engineer evaluating and validating enterprise security tools for Nebius, which builds cloud infrastructure for the global AI economy. Leading PoCs, vendor assessments, and integration planning across its AI cloud platform.

Posted 8/17/2026full-timeRemote • 🇪🇺 Anywhere in EuropeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Security Engineering and Architecture, with a strong focus on cloud security principles, vendor management, and solution validation. Proficient in scripting and automation for security tools, alongside exceptional analytical and communication skills.

Highest-signal resume keywords

Cloud Security PrinciplesSecurity Tool Architecture and DeploymentScripting/Programming in Python or GoTechnical Proof of Concept (PoC) ExecutionVendor Management and Evaluation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Security EngineeringSecurity ArchitectureCloud Security (AWS/Azure/GCP)Kubernetes SecurityIaC ScanningIdentity-Centric SecurityAutomation via APIsEnterprise Security Tools (SIEM/SOAR, EDR)Quantitative Metrics DefinitionThreat Modeling

Soft Skills

Analytical SkillsWritten CommunicationVerbal Communication

Tools & Technologies

CSPM/CNAPPDLPIAM/IGAEDR/XDRVulnerability ManagementSecrets ManagementCI/CD Pipelines

Industry Keywords

Regulatory ComplianceData SecurityNetwork SegmentationConfidential ComputingSecurity Research Methodologies

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Analyze customer expectations, regulatory/compliance drivers, and threat models to define functional and non-functional requirements for security solutions
Conduct market scans to identify security products, platforms, and vendors across CSPM/CNAPP, DLP, IAM/IGA, EDR/XDR, data security, Kubernetes security, and AI/ML security
Evaluate vendors’ technical capability, security posture, integration requirements, roadmap, data residency/compliance, and support quality
Develop threat-aligned PoC test plans, success criteria, quantitative metrics, attack scenarios, and automation opportunities
Architect and deploy isolated PoC environments simulating production infrastructure, including cloud VPCs, Kubernetes clusters, test data, IaC, and typical workloads
Execute security research methodologies, simulate attack scenarios, validate features, and assess false positive/negative rates
Document technical performance data, integration challenges, security gaps, and comparative analysis metrics
Deliver data-driven reports and presentations with recommendations for solution and vendor selection
Collaborate with Security Engineering, Platform/Infra, and DevOps teams on integration, operation, scaling, and implementation handoffs

Requirements

What you’ll need

Minimum 6+ years in Security Engineering, Security Architecture, or a dedicated Security Research role focused on solution validation and vendor management
Deep understanding of cloud security principles, including AWS/Azure/GCP security models, Kubernetes/containers, network segmentation, IaC scanning, least privilege, identity-centric security, and confidential computing
Strong scripting/programming skills, such as Python or Go, for automating PoCs, building test harnesses, and integrating tools via APIs and CI/CD pipelines
Proven hands-on experience architecting, deploying, and testing two or more enterprise-grade security tools, such as SIEM/SOAR, EDR, Vulnerability Management, or Secrets Management
Ability to plan and execute complex technical PoCs, set up test environments, and define quantitative success metrics
Exceptional analytical skills to translate technical findings into business risk and strategic recommendations
Strong written and verbal communication
Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire

Benefits

Comp & perks

Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
Fast moving
Bold thinking
Constant growth
Meaningful impact
Trust and real ownership
Opportunity to shape the future of AI