As an Azure Solution Architect, you act as a trusted partner and consultant to DevOps teams, helping them design and deliver secure, scalable, and cost-effective cloud solutions. You support their journey by co-creating architectures, sharing knowledge, aligning on joint milestone planning, educating teams on cloud cost awareness, and developing Proof of Concepts (POC’s) or Minimum Viable Products (MVP’s) to accelerate innovation and validate approaches.
This role sits within the Cloud Center of Excellence (CCoE), whose mission is to deliver a scalable, reliable, and automated cloud platform. The team enables efficient and sustainable cloud adoption across the company, maximizing value realization, mitigating risks, and supporting business growth through innovation in cloud technologies.
You will support DevOps teams in designing and deploying solutions on the Google platform. You will be working in the CCoE team, an international, multi-disciplinary team consisting of approximately 75+ highly motivated professionals.
- Provide expertise and leadership in cloud onboarding across Azure and Google Cloud, covering both technology and process aspects.
- Educate and guide DevOps teams in designing the company's compliant, secure, and scalable cloud architectures tailored to their needs.
- Act as a consulting partner to DevOps teams, helping them achieve their objectives and remove roadblocks throughout their cloud journey.
- Serve as the main point of contact for DevOps teams and represent the Cloud Center of Excellence (CCoE) as an ambassador.
- Promote cloud cost awareness and educate teams on strategies to manage and optimize cloud spend.
- Test and develop new cloud technologies and be hands-on when needed to validate solutions or accelerate adoption.
- Identify service gaps and collaborate with the CCoE product owner to enhance the overall customer experience.
- Contribute to the design and review of cloud architectures for cloud-native and hybrid applications.
- Support DevOps teams in improving automation capabilities, including CI/CD pipelines and infrastructure as code.
- Document the solution design and all other relevant information.
- Design, develop and support AI solutions to further benefit and automate both CCoE internal and our customers.
- Bachelor’s/Master degree in IT, Business Management, Computer Science or Electronics