Lead DevOps Engineer (m/f/x)

ZEISS Group; Dresden; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leader in optical and industrial technologies is looking for a Lead DevOps Engineer to guide the architecture and operation of their Kubernetes-based cloud environment. You will coach the DevOps team and collaborate with product owners and security experts to secure cloud operations. The ideal candidate should have a Master's degree and 5+ years of experience in cloud development, strong skills in Azure and Kubernetes, and proficiency in infrastructure automation.

Qualifikationen

• 5+ years of experience in cloud operations and development.
• Strong expertise in Azure and Kubernetes.
• Ability to maintain scalable and secure cloud infrastructures.

Aufgaben

• Define the architecture and operation of the Kubernetes-based cloud environment.
• Provide technical leadership and coaching to the DevOps team.
• Ensure cloud security and resilience of the cloud instances.

Kenntnisse

Cloud operations

Kubernetes

Azure

Infrastructure automation

Monitoring tools

Backend development

Problem-solving skills

Ausbildung

Master's degree in Computer Science, Mathematics, or Physics

Tools

Terraform

Azure DevOps

Prometheus

Grafana

Jobbeschreibung

The Corporate Information Technology (CIT) is the central part of the company’s strategy, developing and implementing innovative security solutions to enhance efficiency and competitiveness in the Carl Zeiss Group. By working closely with various business units, CIT ensures that technological advancements and digital transformations are seamlessly integrated into business processes.

Your Role

• As a lead DevOps engineer, you will work side by side with your coworkers in an agile team in an environment which will allow you create the ideal conditions for your future career.
• You will work closely together with the product owner and take ownership of the following topics: technical architecture, infrastructure, monitoring and DevOps tasks. You will be responsible for defining the architecture and the operation of our Kubernetes based cloud environment.
• You will extend and define the architecture of our backend services and integrate additional external services.
• You will be responsible to technical guide, coach and develop other DevOps team members and by their main contact for any technical questions
• You will work closely together with security architects and engineers and be responsible to implement all required security checklists and other measures to ensure the cloud security and resilience of our cloud instances.
• You will be responsible for the operation and maintenance of three productive cloud systems which will be used by internal as well as external customers. You will be the main contact person for all technical requirements and issues regarding the cloud infrastructure.

As Lead DevOps Engineer, you will be responsible for the architecture, operation, and continuous development of our Kubernetes-based cloud environment and integrated services. You will provide technical leadership to the DevOps team, coach colleagues, and work closely with Product Owners and Security experts to ensure secure, stable, and future-proof cloud operations. In this role, you will be the key contact for all technical matters related to infrastructure, monitoring, and cloud security.

Your Profile

• Master’s degree in Computer Science, Mathematics, Physics, or a related field, or equivalent professional experience.

• At least 5 years of experience in cloud operations and development, with strong expertise in Azure and Kubernetes.

• Proven ability to design, implement, and maintain scalable, secure, and resilient cloud infrastructures, including CI/CD pipelines (Azure DevOps) and security tool integration.

• Hands-on experience with infrastructure automation (Terraform, Ansible) and monitoring (Prometheus, Grafana, Loki, Promtail).

• Strong background in backend development (REST APIs, ideally Python/Django or Go) and microservices architectures.

• Experience operating containerized SQL (Postgres) and NoSQL (Redis) databases as well as hyperscale GPU infrastructures with large datasets.

• Excellent problem-solving skills in production cloud environments, combined with the ability to coach and technically guide DevOps and ML developers.

• Strong communication, presentation, and collaboration skills, with a structured, proactive, and independent working style.

Your ZEISS Recruiting Team: Elhan Kolic