Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Bensheim
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable Big Data and AI platforms using container technologies and support clients in integrating, automating, and operationalizing those solutions effectively.
Job Technologies
Your role in the team
- They develop scalable data and AI platforms for our clients.
- Based on modern container technologies such as OpenShift or Kubernetes, you implement highly available and redundant systems.
- They assist in selecting appropriate technologies as well as integrating them into existing data architectures.
- Together with our clients, you will oversee the commissioning of the platforms and assist in developing the necessary operational processes.
- They develop adaptable and future-proof solutions that enable our clients to make informed and data-driven decisions.
- By automating underlying operational processes, such as through CI/CD, you create reliable platforms for our clients.
- In close collaboration with our clients, you communicate technologies clearly and practically, demonstrating the tangible benefits in workshops to address professional and technical issues.
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Our expectations of you
Education
- Completed IT-oriented training, e.g., as an IT specialist (m/f/d), IT systems electronics technician (m/f/d), or a comparable degree program, e.g., in the field of computer science, business informatics, media informatics, software engineering.
Qualifications
- Solid knowledge in platform orchestration and automation (e.g., OpenShift, Kubernetes platforms, Docker-Compose, Infrastructure as Code).
- Knowledge in automation within the DevOps environment (e.g., GitLab CI/CD, GitHub Actions).
- Good communication skills with very good German (Level C1 or higher) and English (Level B2 or higher) language skills, willingness to travel within Germany, and readiness to undergo a security check (SÜG Level 2).
Experience
- Several years of experience in configuring, setting up, and operating container-based applications in the Big Data environment.
- In-depth understanding of Big Data technologies and their integration into on-premise and cloud environments, as well as experience with, for example: data streaming (e.g., Apache Kafka), relational databases (e.g., PostgreSQL, MariaDB), data virtualization (e.g., Trino/Presto, Dremio).
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What we offer
- Flexibility: Our teams decide, depending on their tasks, what balance between remote work and on-site presence makes sense.
- In addition, we offer flexible working hours and 30 days of vacation.
- Corporate Benefits: You have the opportunity to take advantage of attractive employee discounts that change monthly.
- Plan for the future: Benefit from a company pension scheme with employer contributions.
- Further Education: We support your personal and professional development with a diverse range of training opportunities - from internal training sessions conducted by experienced colleagues to external courses.
- Individual Start: A comprehensive onboarding event provides you with the perfect introduction.
- Culture & Collaboration: We foster a corporate culture with open doors and a respectful atmosphere, where your initiative and commitment are encouraged.
- Modern equipment: You will receive a smartphone and a notebook with the operating system of your choice.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
SVA System Vertrieb Alexander
SVA is one of the leading providers of IT services in Germany. With products from leading manufacturers, our project know-how and range of services, we are able to develop optimal solutions for businesses and public sector organizations.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Big Data & AI Platform Developer
- Location
- Bensheim
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
