Cloud DevOps Engineer - Azure (all genders) at Roland Berger

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Infrastructure-as-Code, Automation, Self-Service, Kubernetes, WebApps, Databases, Terraform, Bicep, CI/CD, Cloud-Native, Product Design, Templating, Programming Language, Knowledge Transfer, Agile

Industry

Business Consulting and Services

Description

Company Description Roland Berger is one of the world's leading strategy consultancies with a wide-ranging service portfolio for all relevant industries and business functions. We cherish different perspectives and approaches and count on the diversity and authenticity of our employees. Driven by our values of entrepreneurship, excellence, and empathy, we at Roland Berger are convinced that business and society need a new sustainable paradigm that takes the entire value cycle into account. Our cross-competence teams work with our clients to successfully address the challenges of our time, today and tomorrow, across all industries and business functions. If you like to take the initiative and make a difference as part of a team, Roland Berger is the right place for you. Job Description Join the Cloud Labs team as a Cloud DevOps Engineer (all genders) and shape the digital future of Roland Berger! Are you passionate about cloud-native technologies, eager to pioneer innovative services, and excited to empower internal IT experts with scalable, self-service solutions? Then become part of our international IT team “Cloud Labs”. As a Cloud DevOps Engineer, you’ll work at the intersection of product design, knowledge transfer, and templated cloud architecture. Together with highly motivated colleagues, you’ll lay the digital foundation for cutting-edge ecosystems and contribute to the evolution of a modern, agile IT landscape. Your key responsibilities are: Standardize Azure architectures and resources using Infrastructure-as-Code — with a strong focus on automation and enabling internal teams through self-service capabilities Develop and onboard innovative cloud-based applications as part of Roland Berger's internal digital ecosystem Implement tailored cloud-native use cases that extend and enrich Roland Berger’s internal technology landscape Conduct knowledge transfer sessions with stakeholders across the Roland Berger Group — including best practices for Kubernetes, WebApps, databases, and more Collaborate with the application development team in jointly operating cloud-based software solutions Qualifications University degree in computer science, business informatics or a comparable technical field Proven experience with cloud technologies — especially Microsoft Azure, Infrastructure-as-Code (e.g. Terraform, Bicep), and CI/CD automation Solid understanding of scalable architectures, including Kubernetes, WebApps, databases, and integrations within enterprise ecosystems Familiarity with templating and designing reusable technology modules for internal service enablement Independent, product-oriented mindset with a high level of ownership and solution-driven approach Strong communication and teamwork skills with enthusiasm for sharing knowledge and collaborating across disciplines Good development expertise with at least one programming language Additional Information Have we aroused your interest? We are looking forward to receiving your complete application documents (resume, academic testimonials and work references). For further details on the position, please visit join.rolandberger.com. If you have any questions, please do not hesitate to contact Julia Obermair by phone: +49 89 9230-9169.

Responsibilities

The Cloud DevOps Engineer will standardize Azure architectures using Infrastructure-as-Code with a focus on automation and enabling internal teams via self-service capabilities. Responsibilities also include developing innovative cloud-based applications and conducting knowledge transfer sessions on best practices for technologies like Kubernetes and databases.