DevOps Engineer_1850
Role details
Job location
Tech stack
Job description
As an AI Expert for SDLC Platforms, you will be at the forefront of our efforts to innovate and optimize our software development processes. Your primary responsibility will be to design and develop central platforms that leverage the current AI generator landscape to support and enhance development activities. You will work closely with our agile development teams and DevOps engineers to integrate AI-driven solutions into our CI/CD pipelines and automate repetitive tasks, ensuring efficient and reliable software delivery., * AI Platform Development: Design, develop, and implement central platforms that utilize AI technologies to support and enhance the Software Development Life Cycle (SDLC). Focus on creating solutions that streamline development activities and improve productivity.
- AI-Driven Automation: Implement AI-driven automation strategies to optimize CI/CD pipelines, resource allocation, and deployment processes. Enhance the level of automation in our software delivery life cycle by leveraging AI technologies.
- Integration and Collaboration: Work closely with software engineers and DevOps teams to integrate AI solutions into existing development, test automation, and delivery tools. Innovate and improve software delivery, test, and production platforms using AI insights.
- Performance and Security Analysis: Analyze systems regarding performance, security, and availability, using AI to provide predictive analytics and insights that drive improvements.
- Cloud and Containerization: Drive cloud adoption and work on the containerization of applications. Configure and maintain container orchestration environments, ensuring they are optimized for AI-driven processes.
- DevOps Familiarity: Utilize your knowledge of DevOps best practices to ensure operational availability of systems, improve incident, problem, and change management processes, and guarantee stable environments.
Requirements
- Strong expertise in AI technologies and their application in software development processes.
- Experience with CI/CD best practices and technologies, including Kubernetes, Helm, Terraform, and ArgoCD.
- Familiarity with cloud platforms, especially AWS, and container orchestration technologies like Kubernetes and Docker.
- Proficiency in software development and scripting languages to provide automation and self-service tooling.
- Knowledge of infrastructure as code technologies, particularly Terraform and Helm.
- Experience with various automation frameworks, including Jenkins automation server.
- Proficiency in version control systems, especially Git and GitHub.
- By combining AI expertise with DevOps knowledge, you will play a critical role in transforming our software development lifecycle, ensuring it is efficient, reliable, and innovative.
Benefits & conditions
- We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
- We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
- From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
- Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.