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NEURA Robotics
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Cybersecurity Engineer - Cloud, Ops (human)

AWS EKSAWS LambdaAPI GatewayIoT CoreAWS S3IAMTerraformAWS OrganizationsSemgrepSonarQubeZAPBurp SuiteGitLab CIKubernetesPythonTypeScriptC++OAuthOpenID ConnectJWTSageMakerTritonONNXBashAWS ConfigSCPsGuardDutyAWS
Work Type
-
Job Type
-
Location
Worldwide
Salary
Not specified

About the Position

Join NEURA Robotics to shape the next generation of human-robot systems as a Cybersecurity Engineer, securing cloud-native platforms and driving vulnerability management in a cutting-edge robotics environment.

Responsibilities

  • Secure cloud-native platforms (AWS EKS, Lambda, API Gateway, IoT Core, S3) via least-privilege IAM, network segmentation, secrets management, and policy-as-code (Terraform/AWS Organizations)
  • Operate SAST (Semgrep/SonarQube), DAST (ZAP/Burp), SCA, and container/IaC scanning in GitLab CI/CD; extend coverage to Kubernetes manifests and supply chain
  • Run risk-based vulnerability management: CVSS + exploitability rating, SLA-driven remediation tracking, and structured closure evidence for internal KPIs and regulatory reporting
  • Conduct STRIDE threat modeling across microservices, edge, and AI/ML inference pipelines; translate findings into architecture decisions
  • Own NIS2 Art. 21 measure documentation, incident notification workflows (24h/72h), and supply-chain security assessments for cloud dependencies
  • Define and enforce secure coding and API standards (Python, TypeScript, C++; OAuth2/OIDC, JWT) and deliver developer-oriented remediation guidance embedded in engineering workflows
  • Lead secure architecture reviews for cloud-native and AI-adjacent systems; assess AI/ML pipeline security controls (SageMaker, Triton, ONNX) and model supply chain risks
  • Align cloud threat models and security controls with the embedded cybersecurity team to maintain end-to-end integrity from robot controller to cloud backend

Requirements

  • Degree in Computer Science, Cybersecurity, or Software Engineering
  • OSCP or AWS Security Specialty is a differentiator
  • 3–5 years in application or cloud security with demonstrated ownership of AppSec tooling and vuln management in a product environment — not advisory only
  • Hands-on command of OWASP Top 10/ASVS, cloud security posture (AWS preferred), and DevSecOps tooling (SAST, DAST, SCA) — not just theoretical
  • Proven vuln management lifecycle: CVSS + exploitability triage, SLA-driven closure, and audit-ready documentation
  • Working knowledge of NIS2, EU CRA, ISO 27001, or IEC 62443; able to translate findings into compliance documentation for internal governance and external audit
  • Python/Bash proficiency; hands-on with container and Kubernetes security, IaC scanning, and AWS governance tooling (Config, SCPs, GuardDuty)
  • Exposure to AI/ML pipeline security (SageMaker, Triton, ONNX) and model supply chain risks is a significant differentiator
  • Communicates security risk clearly to engineering and management; written outputs audit-ready. Interfaces effectively with embedded security, certification, and external auditors
Cybersecurity Engineer - Cloud, Ops (human)
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