Senior Security Architect (Human)

NEURA Robotics; Germany (OH); On-site; USD 140,000 - 180,000; Full time

Job summary

NEURA Robotics is strengthening its cybersecurity team to guide product engineers and security specialists across our embedded, cloud, and IT domains. You will shape security architecture, lead threat modelling, and drive hands-on improvements to turn security into a competitive advantage.

The role spans embedded systems, cloud services, and enterprise IT, requiring clear communication with developers and executives alike. A background in cybersecurity across IT and product security is essential.

Qualifications

• 7+ years in cybersecurity across IT infrastructure and product/application security.
• Experience with threat modelling methodologies like STRIDE or PASTA.
• Hands-on with DevSecOps tooling: SAST/DAST, secrets scanning, SCA, and CI/CD integration.
• Experience designing or assessing cloud security on AWS/Azure/GCP.
• Strong understanding of embedded and IoT security principles (secure boot, OTA update, hardware trust).
• Familiarity with regulatory frameworks: ISO 27001, IEC 62443, NIS2, EU Cyber Resilience Act.
• Ability to translate risk into business terms for leadership and engineers.
• Degree in CS/IT Security/Electrical Engineering or equivalent; CISSP/CISM a strong plus.

Responsibilities

• Shape and evolve security architecture across IT and product, reviewing designs and driving improvements.
• Develop and maintain reference architectures for high-risk areas including OTA pipelines, Zero Trust, cloud security, and IAM.
• Lead threat modelling for major initiatives and produce prioritised risk maps.
• Own and maintain the security risk register and translate findings for leadership.
• Establish security standards and drive adoption without adding friction for developers.
• Integrate security into the development lifecycle with SAST/DAST, secrets scanning, and dependency checks.
• Own vulnerability management and remediation SLAs across product and IT operations.
• Map landscape to regulatory requirements and close gaps proactively.
• Define security bar for third-party components and supplier integrations.
• Scope external penetration tests and ensure remediation, not just acknowledgement.
• Shape the hiring profiles and onboarding for future Product Security Engineers.
• Serve as a bridge between security and engineering, translating risk for all stakeholders.

Skills

Threat modelling

DevSecOps tooling

Cloud security

Embedded & IoT security

Regulatory standards

Technical communication

Education

Degree in CS/IT Security/Electrical Engineering or equivalent

Tools

SAST

DAST

Secrets scanning

CI/CD tooling

Job description

NEURA Robotics builds cognitive robots and AI systems that operate in the real world — and the security surface that comes with that is as complex as the products themselves. You will join and strengthen a growing cybersecurity team, providing technical guidance to product engineers and security specialists across our verticals while helping expand our horizontal InfoSec function into a mature, enterprise-wide capability. Working across IT and product engineering, you will refine what is already in place, raise the bar where it matters, and make security a genuine competitive advantage rather than a bottleneck.

Your mission & challenges

• Shape and evolve security architecture across IT and product — reviewing designs, identifying weaknesses, and driving hands‑on improvements across embedded systems, cloud services, and enterprise IT

• Develop and maintain reference architectures for the highest-risk areas: secure OTA update pipelines, Zero Trust network design, cloud-native security, embedded and firmware security, IAM, and secrets management

• Lead threat modelling for high-impact initiatives across product verticals and IT infrastructure — producing prioritised risk maps, not lengthy audit reports

• Own and maintain the organisation‑wide security risk register, translating technical findings into business‑relevant assessments that leadership can act on

• Establish the security standards every team is expected to meet and drive adoption without creating friction for developers — guardrails, not gates

• Integrate security into the development lifecycle: select and tune SAST/DAST tooling, secrets scanning, and dependency scanning across CI/CD pipelines

• Own vulnerability management: CVE triage process, remediation SLAs, and coordination across product verticals and IT operations

• Map NEURA's product and IT landscape against regulatory requirements — EU Cyber Resilience Act, NIS2, ISO 27001, IEC 62443 — and close gaps proactively

• Define the security bar for third‑party components, libraries, and vendor integrations entering the supply chain

• Scope and coordinate external penetration tests; validate that findings are remediated, not just acknowledged

• Define what good looks like for future Product Security Engineers embedded in our product verticals — shaping their hiring profiles, mandates, and onboarding

• Serve as the technical bridge between security and engineering: review major architectural decisions, communicate trade‑offs, and translate risk into terms both developers and leadership can act on

What we can look forward to

• 7+ years in cybersecurity, with a track record that spans both IT infrastructure security and product or application security — you are comfortable on both sides

• Hands‑on experience with threat modelling methodologies such as STRIDE or PASTA, and the ability to run sessions independently with engineering teams

• Strong working knowledge of DevSecOps tooling: SAST, DAST, secrets scanning, software composition analysis, and CI/CD pipeline integration

• Experience designing or assessing cloud security architecture on AWS, Azure, or GCP

• Solid understanding of embedded and IoT security principles: secure boot, firmware integrity, OTA update security, and hardware trust anchors

• Working knowledge of relevant frameworks and regulations: ISO 27001, IEC 62443, NIS2, and the EU Cyber Resilience Act

• The communication range to explain a risk register to the CEO and a threat model to an embedded engineer — in the same day

• Degree in Computer Science, IT Security, Electrical Engineering, or a comparable field — or equivalent demonstrated experience

• CISSP, CISM, or a comparable certification is a strong plus

• Experience in robotics, industrial automation, connected hardware, or AI system environments is particularly welcome

• Awareness of emerging AI and ML security risks — adversarial inputs, model theft, training data integrity — is a differentiator at NEURA