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Security Solutions Engineer

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Remote from
Europe
Salary
Undisclosed
Department
Cybersecurity
Employment
Full Time
Experience
Open level
Published
Apply before
22 Nov 2026
Listing views
13
Application actions
0
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AI Summary

The role, at a glance.

Security Solutions Engineer will evaluate, validate, and recommend enterprise security products for Nebius’s AI cloud infrastructure. The role combines threat-driven requirements definition, market and vendor research, and hands-on leadership of security proof-of-concepts. The engineer will build isolated cloud and Kubernetes test environments, automate validation activities, simulate attacks, and assess solution effectiveness. They will translate technical findings into vendor recommendations and integration plans for security, platform, DevOps, product, and leadership stakeholders. The position requires substantial cloud-security depth, practical engineering capability, and independent decision-making.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior security engineering role requiring broad expertise across cloud, Kubernetes, identity, data, endpoint, and AI/ML security domains. Success depends on independently designing rigorous PoCs and communicating defensible technical and business recommendations to senior stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$145,000
US market range (per year)$120k–$175k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence is inferred from the senior full-time security engineering scope; estimated USD annual market compensation is approximately $120,000–$175,000, with a midpoint of $145,000.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you structure a proof-of-concept for a new CNAPP or CSPM platform?

I would begin with threat models, compliance drivers, and operational requirements, then define measurable success criteria such as coverage, detection quality, integration effort, performance, and false-positive rates. I would deploy the shortlisted tools in an isolated environment that mirrors key production cloud and Kubernetes patterns, execute prioritized attack and misconfiguration scenarios, document findings, and present a weighted recommendation.

Describe how you would evaluate whether a security product can be integrated successfully into a cloud platform.

I would assess architecture and deployment requirements, API and identity integration, data flows, permissions, network dependencies, scalability, alerting, SIEM compatibility, automation options, and operational ownership. I would validate these assumptions through a hands-on integration PoC and identify risks, required platform changes, and ongoing maintenance needs before recommending adoption.

How do you minimize bias when assessing competing security vendors?

I use a documented, threat-aligned evaluation matrix and establish objective test cases before engaging deeply with vendors. Each candidate is assessed against the same environment, success metrics, security controls, integration criteria, support expectations, and total operational effort, with evidence captured for every conclusion.

What security considerations are most important when building a Kubernetes-based PoC environment?

I would isolate the environment, enforce least-privilege access, use separate cloud accounts or projects where practical, manage secrets securely, restrict network paths, and avoid production data. I would also define logging and monitoring, use infrastructure as code for repeatability, and ensure the environment can be destroyed cleanly after testing.

How would you communicate a technically nuanced vendor recommendation to executive stakeholders?

I would lead with the decision, business risk addressed, and expected value, then summarize the evidence in clear comparison tables and measurable outcomes. I would explain material trade-offs, implementation dependencies, residual risks, costs where available, and a practical next-step plan, while keeping detailed technical artifacts available for engineering review.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We are seeking a Security Solutions Engineer with a strong background in strategic solution evaluation, vendor assessment, and hands-on Proof-of-Concept (PoC) validation. This role is a crucial bridge between identifying customer security requirements and implementing best-in-class, enterprise-grade solutions. You will be responsible for defining the criteria, researching the market, and executing technical validation for all major security tooling and services adopted by the company.

Key responsibilities:

1. Strategic Research & Requirement Definition

  • Threat-to-Solution Mapping: Proactively analyze customer expectations, regulatory/compliance drivers, and threat models to define precise functional and non-functional requirements for new security solutions.
  • Market Analysis & Scouting: Conduct thorough market scans to identify cutting-edge security products, platforms, and vendors across key domains (e.g., CSPM/CNAPP, DLP, IAM/IGA, EDR/XDR, data security, Kubernetes security, and AI/ML security).
  • Vendor Due Diligence: Evaluate potential vendors based on technical capability, security posture, integration requirements, roadmap, data residency/compliance, and support quality, and shortlist candidates for the PoC phase.

2. Technical Validation & Proof-of-Concept (PoC) Leadership

  • PoC Planning & Design: Develop detailed, objective, and threat-aligned test plans and success criteria for all security solution Proof-of-Concepts (PoCs), including quantitative success metrics, coverage of key attack scenarios, and opportunities for automation.
  • Hands-on Environment Setup: Independently architect and deploy isolated PoC environments that accurately simulate our production infrastructure (e.g., setting up cloud VPCs, Kubernetes clusters, integrating with test data via IaC, and mimicking typical workloads).
  • Testing & Analysis: Execute security research methodologies within the PoC (e.g., simulating attack scenarios, conducting deep feature validation, assessing false positive/negative rates) to rigorously test the vendor solution’s effectiveness.
  • Artifact Generation: Document all findings, including technical performance data, integration challenges, security gaps discovered, and clear comparative analysis metrics.

3. Decision Support & Communication

  • Recommendation & Insight: Deliver comprehensive, data-driven reports and compelling presentations to security and product leadership and engineering stakeholders, providing a clear recommendation for the optimal solution and vendor selection.
  • Integration Planning: Work closely with Security Engineering, Platform/Infra, and DevOps teams to ensure selected solutions are feasible to integrate, operate, and scale, and to hand off PoC learnings into implementation plans.

Must-haves:

  • Experience: Minimum 6+ years in Security Engineering, Security Architecture, or a dedicated Security Research role focused on solution validation and vendor management.
  • Technical Depth: Deep understanding of modern cloud security principles (e.g., AWS/Azure/GCP security models, Kubernetes/containers, network segmentation, IaC scanning, least privilege, identity-centric security, confidential computing).
  • Programming and Automation – Strong scripting / programming skills (e.g., Python, Go, or similar) for automating PoCs, building test harnesses, and integrating tools via APIs and CI/CD pipelines.
  • Solutions Expertise: Proven, hands-on experience with the architecture, deployment, and testing of two or more enterprise-grade security tools (e.g., SIEM/SOAR platforms, Endpoint Detection and Response (EDR), Vulnerability Management, Secrets Management).
  • PoC Proficiency: Demonstrated ability to plan and execute complex technical Proof-of-Concepts, including setting up test environments and defining quantitative success metrics.
  • Soft Skills: Exceptional analytical skills with the ability to translate complex technical findings into clear business risk and strategic recommendations. Strong written and verbal communication.

Nice-to-haves:

  • Experience in Cloud or Cloud-Heavy companies.
  • Experience in a compliance-focused industry (e.g., finance, healthcare, or cloud infrastructure) and familiarity with frameworks such as ISO 27001, SOC 2, or GDPR.
  • Advanced professional certifications such as CISSP, CCSK or relevant cloud certifications (e.g., AWS/GCP/Azure Security Specialty).
  • Experience contributing to security standards, open-source tools, talks, or publications.

Benefits & 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

What’s it like to work at Nebius:

Fast moving – Bold thinking – Constant growth – Meaningful impact – Trust and real ownership – Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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