Cloud & AppSec Engineer: Secure AI/ML Pipelines

NEURA Robotics; Germany (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

NEURA Robotics seeks a security-focused engineer to own cloud-native and embedded security across the robot controller to cloud backend. You will lead AppSec tooling, threat modeling, and NIS2 compliance, driving secure architecture decisions in collaboration with engineering and governance teams.

The role requires hands-on experience with Python, Bash, AWS security tooling, and AI/ML pipeline security; you will implement remediation guidance and audit-ready controls within CI/CD.

Qualifications

• Minimum 3–5 years in application or cloud security with AppSec tooling ownership.
• Handson with OWASP Top 10/ASVS and cloud security posture (AWS preferred).
• Experience in vuln management lifecycle and audit-ready documentation.
• Familiarity with NIS2, EU CRA, ISO 27001, or IEC 62443.
• Proficiency in Python and Bash; secure coding practices.
• Experience with AI/ML pipeline security and model supply chain risks.
• Strong collaboration with embedded security, certification, and external auditors.

Responsibilities

• Secure cloud-native platforms via IAM, network segmentation, secrets management, and policy-as-code.
• Operate AppSec toolchain including SAST/DAST/SCA in CI/CD.
• Drive vulnerability management with risk scoring and remediation.
• Perform threat modeling across microservices, edge, and AI/ML pipelines.
• Support NIS2 compliance documentation and incident workflows.
• Define secure coding standards for Python, TypeScript, C++; OAuth2/OIDC/JWT.
• Lead secure architecture reviews for cloud-native and AI-adjacent systems.
• Bridge to embedded security for end-to-end integrity.

Skills

Python

Bash

Container security

Kubernetes security

IaC scanning

OWASP Top 10

DevSecOps tooling

SAST/DAST tooling

Communication

Education

Degree in Computer Science, Cybersecurity, or Software Engineering

OSCP or AWS Security Specialty (differentiator)

Tools

SAST tools (Semgrep/SonarQube)

DAST tools (ZAP/Burp)

SCA tools

GitLab CI/CD

AWS governance tooling (Config, SCPs, GuardDuty)

Job description

NEURA Robotics seeks a security-focused engineer to own cloud-native and embedded security across the robot controller to cloud backend. You will lead AppSec tooling, threat modeling, and NIS2 compliance, driving secure architecture decisions in collaboration with engineering and governance teams.

The role requires hands-on experience with Python, Bash, AWS security tooling, and AI/ML pipeline security; you will implement remediation guidance and audit-ready controls within CI/CD.