Job
- Level
- Experienced
- Location
- Dortmund
- Working Model
- Onsite
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop robust Azure architectures for GenAI projects, enhance backend services and APIs, and implement CI/CD pipelines and testing strategies to ensure production-ready AI solutions.
Job Technologies
Your role in the team
- Transition of GenAI prototypes, e.g., RAG applications and agents, into stable and production-ready services.
- Development of reliable backend services, APIs, as well as data and document pipelines for productive AI solutions.
- Design and evaluation of suitable Azure architectures considering security, maintainability, scalability, and cost.
- Selection and integration of suitable Azure services for hosting, compute, data processing, search, and AI applications.
- Development and establishment of test and quality strategies, including automated testing as well as AI-specific evaluation and regression mechanisms.
- Development of CI/CD pipelines as well as standardized deployment and release processes.
- Design and further development of development, testing, and production environments.
- Implementation of observability as well as security and governance standards, particularly for identity, RBAC, and secrets management.
- Creation of technical documentation and operational documentation.
- Development and documentation of reusable technical standards.
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Our expectations of you
Education
- Completed degree in Computer Science or Business Informatics, a comparable qualification, or equivalent practical experience.
Qualifications
- Good knowledge of Microsoft Azure and cloud-based software architectures.
- Knowledge of CI/CD and Infrastructure as Code.
- Understanding of security, observability, scalability, maintainability, and cost.
- Structured, independent, and quality-oriented way of working.
- Enjoyment in developing reusable technical solutions.
Experience
- Several years of experience in backend, cloud, or platform engineering.
- Good Python skills and experience in developing production-ready software.
- Experience with APIs, backend services, as well as data or document pipelines.
- Experience with multiple relevant Azure services, such as Azure Container Apps, Azure Functions, Azure OpenAI, Azure AI Search, Microsoft Entra ID, Azure Key Vault, or Azure Monitor.
- Experience with Azure DevOps, GitHub Actions, Bicep, or Terraform is an advantage.
- Experience with RAG, retrieval, AI evaluation, or agent-based workflows is advantageous.
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What we offer
- Technically demanding task at the intersection of software engineering, cloud, and artificial intelligence.
- Opportunity to support GenAI applications from testing to production deployment.
- Participation in the development of reusable technical standards and platform components.
- Modern technologies and diverse technical challenges.
- Collaboration with various departments in an international corporate environment.
- Structured onboarding as well as professional development opportunities.
- Flexible working time models.
- Attractive compensation and social benefits.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Salzgitter AG
Salzgitter AG is one of the leading steel and technology companies in Europe. The core competencies lie in the production of rolled steel and tubular products as well as their further processing and distribution. Salzgitter AG is one of the leading suppliers of profile and flat steel in Europe.
Description
- Company Size
- 250+ Employees
- Founding Year
- 1858
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Industry, Production
AI Platform Engineer Azure & GenAI
- Location
- Dortmund
- Working Model
- Onsite
- Diversity
- Open for all genders
