Original Beschreibung
## Job Description
**About You**
Are you an experienced Cloud Architect ready to shape the future of cloud infrastructure and data platforms? Do you excel at designing scalable, secure cloud architectures and enjoy working closely with cross-functional teams to bring complex solutions to life?
You collaborate effectively with other engineers to build robust, cloud-native systems, provide architectural guidance, help select the right tools and frameworks, and ensure that solutions are efficient, scalable, and aligned with engineering best practices.
If you’re passionate about cloud innovation, data-driven design, and building platforms that scale, then this is the perfect role for you!
**Your Responsibilities**
As our new Cloud Architect, you will lead the design and implementation of modern, scalable cloud architectures that support our data-driven platforms and applications. You’ll work closely with DevOps and other engineering teams to ensure our cloud infrastructure is secure, reliable, and aligned with best practices. This role combines hands-on architecture with strategic planning and technical mentorship. You will report to the Head of Software Engineering and be an integral part of our Technology division. This is a hybrid role, requiring two days a week in the office.
**In this role, you will:**
* Design, implement, and evolve cloud architecture strategies that support business and technical objectives.
* Collaborate with DevOps and engineering teams to ensure seamless integration between application development and infrastructure.
* Define cloud infrastructure standards, patterns, and best practices for security, scalability, and cost-efficiency.
* Partner with software and data architects to design cloud environments that support high-throughput APIs, data pipelines, and analytical workloads.
* Select appropriate cloud services and technologies to meet solution requirements.
* Lead architecture reviews and provide hands-on guidance during design, development, and deployment phases.
* Drive cloud governance initiatives, including compliance, and risk management.
* Evaluate new technologies and provide recommendations for adoption in alignment with business needs.
* Act as a technical mentor and thought leader across engineering and DevOps teams.
* Carry out standard engineering duties within the DevOps infrastructure.
## Qualifications
**You Offer**
* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
* 8+ years of experience in cloud architecture, infrastructure, or software engineering roles, including enterprise-scale solution design and delivery.
* Proven success in leading cloud transformation initiatives and delivering secure, scalable cloud-native platforms.
* Cloud Platforms: Advanced expertise in AWS and Microsoft Azure, including architecture, service selection, deployment strategies, and cost optimization.
* Containerization & Orchestration: Deep knowledge of Kubernetes, including production use of Amazon EKS and Azure AKS.
* Serverless & Microservices: Experience designing and implementing serverless applications (e.g., AWS Lambda, Azure Functions) and distributed microservice architectures and best practices.
* CI/CD & DevOps: Strong background in building and maintaining CI/CD pipelines using GitLab, complemented by hands-on DevOps and SRE experience over the past five years. Skilled in GitOps practices and integrating DevSecOps principles to enhance automation, security, and system reliability.
* Infrastructure as Code: Proficient in Terraform, CloudFormation, and scripting (e.g., Bash, Python) for infrastructure automation.
* Databases: Hands-on experience with Snowflake, MongoDB, PostgreSQL, MySQL, and Amazon RDS within cloud-native data ecosystems.
* Networking & Security: Capable of designing secure, compliant cloud networks, including VPC architecture, DNS, load balancers, and firewall policies.
* Software development: Understanding of Java, Spring Boot, Node.js and TypeScript, with familiarity in integrating frontend services with APIs.
* Machine Learning Support: Working knowledge of Python in ML contexts, with the ability to design infrastructure that supports model training and deployment.
* Scripting & Automation: Comfortable with Bash and Python for general-purpose scripting for operational automation.
* Awareness of AI/ML architecture patterns and how to support them in a scalable, secure cloud environment.
* Interest in emerging technologies such as generative AI, MLOps, or data science infrastructure is a strong plus.
* Experienced in Agile development environments, with tools like Jira, Confluence, and an understanding of SAFe or similar scaling frameworks.
* Strategic thinker with excellent problem-solving, communication, and collaboration skills.
* Fluent in English (written and spoken).
* Ability to work independently and within global cross-functional teams in a hybrid work model.
* Comfortable mentoring engineers and contributing to architectural standards and best practices.
## Additional Information
**Please note that we will only consider candidates with a valid work permit.**