Job
In this role, you assist clients with integration decisions, design secure data solutions on cloud platforms using Kubernetes, and take on mentoring functions in architecture matters.
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Your role in the team
- Do you support our clients regarding Brown Field and Green Field integration decisions throughout the entire project lifecycle, including presales phase, cost estimation, and act as the link between architecture and development team.
- Are you part of the architecture team and actively involved in consulting on architecture development.
- Design scalable, resilient, and secure data-centric solutions for various client requirements on private and public cloud platforms based on Kubernetes.
- Do you apply your expertise in tendering and contribute to the creation of complex service descriptions?
- Do you shape our standards, especially in the areas of Big Data, Cloud, CI/CD, Infrastructure as Code, and DevSecOps, including documentation, and ensure their implementation in projects?
- Do you take on the role of a mentor to support colleagues and development teams with architecture decisions and implementation?
- Do you ensure the quality of solutions through code reviews and established standards, thereby contributing to the development of future-proof platforms?
Our expectations of you
Education
- Completed degree in (Business) Informatics or a comparable qualification with relevant professional experience.
Qualifications
- Solid knowledge in software development as a Lead Developer with Java, C# or Python.
- Expertise in handling technologies such as API management, microservices, and common security procedures.
- Excellent knowledge in integrating NoSQL technologies (e.g., Apache Cassandra) and relational databases (e.g., MySQL, Oracle).
- Experience with event streaming and modern data infrastructure technologies such as Apache Kafka, Apache Hadoop, Apache Iceberg, and Apache Spark.
- Knowledge in Data Governance, particularly regarding data quality, security, compliance, and traceability.
- Very good German skills (C1) and good English skills (B1) in speaking and writing.
Experience
- Several years of professional experience in the implementation of software and IT architectures in the Big Data and Cloud environment.
- Experience in the Big Data environment with architecture patterns, technologies, and the development of data-driven systems.
- Knowledge of container technologies (Docker, Kubernetes) and implementation of IaC and CI/CD, complemented by experience in designing scalable cloud infrastructures (e.g., AWS, Azure, GCP, OVH, IONOS, Stackit).
- Experience in dealing with architecture standards and best practices such as architecture and design patterns, as well as in documenting software architectures, e.g., with arc42.
What we offer
- The Materna career model systematically and purposefully supports you in your personal development and shows you possible career paths.
- Maintain a healthy work-life balance with our flexible working hours system and 40% remote work.
- With Job-Rad, we support you in leasing your dream bicycle.
- In our brown-bag sessions, developer summits, and communities, you have the opportunity to do so!
- Take advantage of our partner Urban Sports Club's diverse and flexible sports and wellness offerings across Germany, Austria, and several European countries.
Benefits
Health, fitness & fun
Food & drink
Higher take-home pay
Work-Life-Integration
Topics you will work on
Job locations
About your employer
The Materna Group was founded in 1980. Today, the family-run business includes several subsidiary companies and investments. Together, we generate a group revenue of 323.8 million euros (2019). The services of our subsidiary companies are a key part of the Materna portfolio for implementing IT and digitalization projects. We operate on the market as a corporate group and market all services along the value chain from one source.
- 1980
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
Employer reviews
- Engineering
- 3.3
- Team culture
- 3.5
- Working conditions
- 4.4
- Career growth
- 3.2
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