Senior Infrastructure Software Architect (REF3290S)

The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary’s independent survey in 2021 and rewarded with the title of the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

We are seeking a highly skilled and experienced Senior Infrastructure Software Architect with extensive knowledge and hands-on experience in Google Cloud Platform (GCP) and DevOps practices. The ideal candidate will be proficient in a wide range of GCP services, with a strong emphasis on data warehousing, lakehouses, and related technologies. The role involves designing, implementing, and managing robust cloud infrastructure solutions that align with business goals and technical requirements.

Key Responsibilities:

• Architectural Design and Strategy:

  - Develop and maintain scalable, secure, and cost-effective cloud architecture on GCP.
  - Create architectural blueprints and technical documentation for infrastructure solutions.
  - Evaluate and implement best practices for data warehousing and lakehouse architectures.
  - Ensure architectural designs meet scalability, reliability, security, and performance criteria.

• Cloud Infrastructure Management:

  - Oversee the deployment, management, and monitoring of GCP services and resources.
  - Optimize cloud infrastructure for cost and performance, leveraging tools such as GCP Cost Management.
  - Implement and maintain Infrastructure as Code (IaC) using tools like Terraform or Cloud Deployment Manager.

• Data Management:

  - Design and implement data warehousing solutions using GCP services like BigQuery, Cloud SQL, and Cloud Spanner.
  - Architect and manage data lakehouses with GCP services such as Google Cloud Storage and Dataproc.
  - Ensure data security and compliance through robust policies and governance frameworks.

• DevOps and Automation:

  - Implement CI/CD pipelines using tools like Google Cloud Build, Jenkins, or GitLab CI/CD.
  - Automate infrastructure provisioning, configuration management, and application deployment.
  - Develop and enforce best practices for version control, branching strategies, and release management.

• Collaboration and Leadership:

  - Mentor a team of cloud engineers and DevOps professionals.
  - Collaborate with cross-functional teams including software developers, data engineers, and security specialists.
  - Provide technical guidance and support during the design and implementation phases of projects.
  - Conduct architectural reviews and audits to ensure alignment with best practices and organizational standards.

• Continuous Improvement:

  - Stay up-to-date with the latest GCP services, features, and industry trends.
  - Identify and evaluate new tools and technologies to enhance cloud infrastructure and DevOps processes.
  - Promote a culture of continuous improvement and innovation within the team.

• Education and Experience:

  - Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  - Minimum of 7 years of experience in infrastructure architecture and cloud solutions.
  - Extensive experience with Google Cloud Platform, including certification (e.g., Professional Cloud Architect).

• Technical Skills:

  - Proficient in GCP services such as Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Cloud Spanner, Pub/Sub, and Dataproc.
  - Strong understanding of data warehousing, lakehouse architectures, and related technologies.
  - Expertise in DevOps practices and tools (e.g., CI/CD, Docker, Kubernetes, Terraform).
  - Experience with programming and scripting languages such as Python, Go, or Bash.

• Soft Skills:

  - Excellent problem-solving and analytical skills.
  - Effective communication and collaboration skills.
  - Ability to work in a fast-paced, dynamic environment.

Preferred Qualifications:
- Knowledge of machine learning and data analytics services on GCP.
- Familiarity with security best practices and compliance standards in cloud environments.
- Experience with microservices architecture and serverless computing.

Additionally, our way of working requires that you be a Team player with great Communication Skills, able to travel and produce out of the box ideas.

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.