Asks for

The ad says“Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.”
The ad says“Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.”
The ad says“Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.”
The ad says“Good understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes.”
The ad says“Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.”
The ad says“Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.”
The ad says“Good understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes.”
The ad says“Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.”
The ad says“Good understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes.”
The ad says“Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.”
The ad says“Good understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes.”
The ad says“Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.”
The ad says“Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.”
The ad says“Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.”
The ad says“Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.”
The ad says“Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.”
The ad says“Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.”
The ad says“Good understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes.”
The ad says“Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.”
The ad says“Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.”
The ad says“Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.”
The ad says“Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.”
The ad says“Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.”
The ad says“Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.”

Cyber Insight develops ZYLENTIX, an AI-native cybersecurity platform that helps enterprise customers assess product-related cybersecurity risks, evaluate vulnerabilities more efficiently and make complex security decisions traceable across product, component and system landscapes.

ZYLENTIX is already being introduced in demanding enterprise environments, including leading MedTech manufacturers. We are now entering the next phase: turning a strong, customer-validated technology into a scalable, secure and production-ready enterprise software platform.

We are looking for a Senior Enterprise Solution Architect who wants to help shape this technical foundation. You will work closely with our CTO, Engineering, DevOps and Delivery teams to build reusable architecture, integration and deployment patterns — not one-off customer solutions.

This is a role for someone who enjoys technical ownership, complex enterprise environments and the opportunity to help build an AI-native platform at an early but highly relevant stage.

In this role, you will work closely with our CTO, Engineering, DevOps and Delivery teams to make ZYLENTIX scalable, secure and production-ready for enterprise customers.

Your responsibilities include:

Help shape the target architecture of ZYLENTIX as an enterprise-grade AI platform.
Design reusable API, integration, deployment and customer-edge patterns.
Define practical standards for production readiness, scalability, maintainability and technical documentation.
Contribute to release, deployment, monitoring, observability and runbook standards.
Embed security by design, IAM, auditability, secrets handling and data-flow control into architecture decisions.
Translate customer requirements into reusable product and architecture building blocks.
Support technical customer workshops with IT, Security, Product Security, Architecture and Engineering teams.

You combine solid enterprise architecture experience with enough technical depth to make architecture practical, implementable and scalable. You do not need to be a pure software engineer, but you should be able to understand complex systems, structure technical decisions and work closely with engineering teams.

What we are looking for:

Experience as a Solution Architect, Enterprise Architect, Platform Architect, Technical Lead, Technical Consultant or similar role.
Good understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes.
Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.
Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.
Ability to define reusable architecture patterns instead of building one-off customer solutions.
Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.
Ability to structure complex technical topics, document decisions clearly and align technical stakeholders.
Very good English and German skills.

Nice to have:

Experience with cybersecurity, product security, vulnerability management or security operations.
Experience with regulated or complex enterprise environments.
Experience with Python, FastAPI, Docker, Kubernetes, Terraform, OpenAPI or similar technologies.
Experience with SQL databases, graph databases or complex data models.

You do not need to fulfill every point. What matters most is that you can understand complex technical systems quickly, create structure and help us build a platform that scales beyond individual customer projects.

Hybrid work model: Work flexibly from Leipzig or remotely within Germany. For important workshops, team days or internal sessions, on-site presence is required.
Workation: Work from anywhere globally for up to 2 weeks per year.
Growth and development: Individual learning and development opportunities.
High ownership: Shape the architecture, standards and scalability of an AI-native cybersecurity platform in an early growth phase.
Direct collaboration: Work closely with CTO, Engineering, Product, Delivery and Management.
Short decision paths: Fast alignment, high impact and direct responsibility.
Team culture: Regular team events and offsites.
Additional benefits: Monthly grocery allowance of €100 and a benefits card with €50 monthly credit.

ZYLENTIX already has strong market pull and enterprise customer validation. The next step is to make the platform scalable, secure, maintainable and production-ready across multiple customers and verticals.

This role is for someone who wants to help build the technical foundation of an AI-native cybersecurity platform — not just deliver isolated customer projects.

Our hiring process is deliberately lean: first introduction, technical discussion and then a fast decision.

We look forward to your application.

Asks for

Values