Summary
✨ AI‑Generated
A robotics technology organization is seeking a Cybersecurity Engineer focused on cloud and operations to secure cloud-native platforms and strengthen application security. You will work with AWS services, least-privilege IAM, network segmentation, Terraform-based policy controls, Kubernetes, CI/CD security tooling, vulnerability management, and threat analysis. The role combines hands-on security engineering with compliance and regulatory requirements.
Highlights
Shape cybersecurity for next-generation human-robot systems while working at the intersection of security, compliance, cloud infrastructure, and robotics. The role offers broad ownership of cloud security, application security tooling, vulnerability management, Kubernetes security, and regulatory reporting.
Description
Our Systems Engineering Department turns market demands into safe, certifiable, and competitive robot systems — spanning software, hardware, safety, and certification.
Join us to shape the next generation of human-robot systems and find extraordinary opportunities at the intersection of security, compliance, and cutting-edge robotics.
Your Mission & Challenges
Secure Cloud-Native Platforms: 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).Own the AppSec Toolchain: Operate SAST (Semgrep/SonarQube), DAST (ZAP/Burp), SCA, and container/IaC scanning in GitLab CI/CD; extend coverage to Kubernetes manifests and supply chain.Drive Vulnerability Management: Run risk-based vulnerability management: CVSS + exploitability rating, SLA-driven remediation tracking, and structured closure evidence for internal KPIs and regulatory reporting.Perform Threat Modeling: Conduct STRIDE threat modeling across microservices, edge, and AI/ML inference pipelines; translate findings into architecture decisions.Support NIS2 Compliance: Own NIS2 Art.
21 measure documentation, incident notification workflows (24h/72h), and supply-chain security assessments for cloud dependencies.Define Secure Coding Standards: 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: 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.Bridge to Embedded Security: Align cloud threat models and security controls with the embedded cybersecurity team to maintain end-to-end integrity from robot controller to cloud backend.
What We Can Look Forward To
Education & Certification: Degree in Computer Science, Cybersecurity, or Software Engineering; OSCP or AWS Security Specialty is a differentiator.Track Record: 3–5 years in application or cloud security with demonstrated ownership of AppSec tooling and vuln management in a product environment — not advisory only.Security Fundamentals: Hands-on command of OWASP Top 10/ASVS, cloud security posture (AWS preferred), and DevSecOps tooling (SAST, DAST, SCA) — not just theoretical.Vulnerability Management Process: Proven vuln management lifecycle: CVSS + exploitability triage, SLA-driven closure, and audit-ready documentation.Regulatory Familiarity: Working knowledge of NIS2, EU CRA, ISO 27001, or IEC 62443; able to translate findings into compliance documentation for internal governance and external audit.Technical Skills: Python/Bash proficiency; hands-on with container and Kubernetes security, IaC scanning, and AWS governance tooling (Config, SCPs, GuardDuty).AI/ML Pipeline Exposure: Exposure to AI/ML pipeline security (SageMaker, Triton, ONNX) and model supply chain risks is a significant differentiator.Collaboration & Communication: Communicates security risk clearly to engineering and management; written outputs audit-ready.
Interfaces effectively with embedded security, certification, and external auditors.
