DevOps Engineer

About The Company HyPlus Solutions GmbH is at the forefront of digital transformation, guiding organizations through their journey into the digital age. Our mission is to develop innovative, sustainable solutions by leveraging cutting-edge technologies and fostering strong, collaborative partnerships with our clients. With a team of approximately 800 dedicated professionals across Germany, Poland, Lithuania, Romania, and India, we combine technological excellence with deep industry expertise in sectors such as automotive, retail, banking, insurance, and the public sector. Our approach emphasizes structured development processes, from requirements analysis and architecture design to software development, implementation, and ongoing operation. We are committed to delivering measurable value and fostering a culture of continuous innovation. As part of our ecosystem, we integrate artificial intelligence into everyday workflows, providing all employees access to our proprietary AI platform (including Claude, GPT, and others via AWS Bedrock). Developers utilize AI-driven coding agents like Claude Code through self-service API keys, enabling a reimagining of infrastructure automation and operational processes. Our environment encourages exploration of AI-assisted engineering, LLMOps platforms, containerization with Docker, and automation tools, making us a pioneer in AI-enhanced DevOps practices. About The Role We are seeking a highly skilled (Senior) DevOps Engineer (m/w/d) to join our innovative team. In this role, you will be pivotal in designing, implementing, and maintaining complex IT infrastructures that support our digital initiatives. Your expertise will ensure the reliability, scalability, and security of our system landscapes, which include Linux-based environments, microservices architectures, and web applications. You will be responsible for configuring and optimizing DevOps pipelines focused on continuous integration and delivery, fostering automation, and standardization across projects. Furthermore, you will work on integrating AI-assisted engineering tools, such as Claude Code, into our development and operational workflows, and contribute to the conception and operation of LLMOps platforms for enterprise deployment of large language models. Your role will also involve managing container environments with Docker, supporting scalable application landscapes, and actively participating in 3rd-level support for complex systems. Collaboration and knowledge sharing are key aspects of this position, ensuring that best practices and compliance standards are upheld throughout our operations. Qualifications Minimum of 3 years of professional experience in DevOps, Infrastructure Automation, Configuration Management, or Platform Engineering.Strong proficiency with DevOps platforms, especially GitLab.Hands-on experience in application operations and automated deployment processes.Proven expertise with Kubernetes and/or Red Hat OpenShift 4, including enterprise cluster management.Experience working with cloud providers such as Azure, AWS, and GCP.Deep understanding of CI/CD pipelines, build automation, testing, and deployment automation tools like Jenkins and GitLab CI.Proficiency in Infrastructure as Code and scripting languages such as Ansible, Terraform, Shell, Go, or Python.Practical knowledge of container technologies, particularly Docker.Experience with monitoring and observability tools including Prometheus, Grafana, ELK/Elastic, Splunk, or Opsgenie.Security-focused experience covering BSI standards, IT infrastructure security, Zero Trust models, secret management, and identity & access management (LDAP, SAML, OIDC, OAuth2).Strong analytical skills for troubleshooting, incident management, and crisis communication.Fluent in German and English at C1/C2 level.Residency in Germany required.Additional experience with storage solutions like Ceph, OpenShift Data Foundation, or network/DNS/DI systems is advantageous.Linux system administration experience and familiarity with AI-driven development tools are preferred.Knowledge of LLM infrastructure operations, including API gateways, model routing, and GPU workloads, is a plus. Responsibilities Designing and executing comprehensive IT projects from initial conception through rollout and into stable production operation.Ensuring the reliability and continuous improvement of Linux-based system landscapes, microservices, and web applications.Configuring and maintaining DevOps pipelines with a focus on continuous integration and delivery to enable efficient development workflows.Integrating AI-assisted engineering tools, such as Claude Code, into operational and development processes to enhance productivity and innovation.Developing and managing LLMOps platforms to facilitate enterprise deployment of large language models securely and reliably.Implementing and maintaining Docker environments to support scalable, standardized application deployment.Promoting automation and standardization efforts within the team to ensure operational stability and efficiency.Providing 3rd-level support, including detailed error analysis, incident resolution, and system troubleshooting.Utilizing collaboration tools effectively to foster knowledge exchange, transparency, and teamwork.Ensuring compliance with regulatory and operational standards, including IT security policies, operational concepts, and data protection requirements. Benefits Competitive salary package combined with performance-based incentives.Clear career development pathways with opportunities for progression.Ongoing professional development through training, certifications, and industry events.Flexible working arrangements, including hybrid and remote work options, along with flexible working hours.A collaborative and inclusive corporate culture that values ideas, results, and innovation.Additional benefits such as health budgets, team offsites, modern technological equipment, mobility