Backend Engineer
Senior Software Engineer for AI applications
Deutsche Telekom Services Europe Romania (DTSE Romania)
Bucharestsenior
Apply on the employer's siteRole description
About Deutsche Telekom Services Europe Romania
In Romania, Deutsche Telekom has set up a Shared Service Center in Bucharest & Timisoara - Deutsche Telekom Services Europe Romania (DTSE Romania), which delivers support function services such as HR, Accounting, Reporting and Finance, as well as IT support services for these lines of business, for the whole European Deutsche Telekom footprint since July 2013.
We Are Focused On
- the best customer experiences
- delivering high quality services
- great working conditions
- growing with innovations
- continuously improving competitiveness through digitalization
You should bring strong backend engineering experience, a pragmatic mindset, and the ability to communicate technical topics clearly to both technical and non-technical audiences. Beyond technical implementation, we are looking for someone who thinks like an
IT consultant
: someone who understands stakeholder needs, asks the right questions, challenges assumptions constructively, and helps identify the best possible solution for the given business and technical context.
Key Responsibilities
- 5+ years of professional software engineering experience, with a strong focus on backend development and Python for production grade systems
- Solid experience building backend services, APIs, and distributed systems
- Experience with containers and deployment technologies such as Docker, Kubernetes, or serverless platforms
- Good understanding of software architecture, clean code principles, and engineering best practices
- Experience working with Git, pull requests, code reviews, and collaborative development workflows
- Practical experience with CI/CD and GitOps concepts and tools
- Ability to work independently, take ownership, and drive topics forward
- Strong communication skills and the ability to explain technical concepts in clear, simple, and stakeholder-appropriate language
- An outgoing, collaborative personality and a genuine interest in working with colleagues to find good solutions
Nice To Have
- Knowledge of data engineering concepts, such as ETL/ELT pipelines, data transformation, batch processing, data quality, or orchestration tools
- Experience with deployments on hyperscaler platforms such as AWS, Azure, or Google Cloud Platform
- Experience with AI-enabled backend applications, especially RAG-based systems, semantic search, document Q&A, internal knowledge assistants, or agentic workflows using tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic, or similar technologies
- Familiarity with typical RAG stack components, such as embeddings, chunking, vector databases/search engines like pgvector, Pinecone, Weaviate, Qdrant, OpenSearch, Elasticsearch, or Azure AI Search, as well as observability/evaluation tools such as LangSmith, Langfuse, OpenTelemetry, or Arize Phoenix
- Experience with monitoring, logging, tracing, and observability tools
- Full-stack capabilities and experience in building frontends are a big plus
- Familiarity with security, authentication, authorization, and secure API design
- Experience mentoring engineers or leading technical initiatives
DTSE-RO is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decision at DTSE-RO are based on business needs, job requirements and individual qualifications, with no regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation and gender identity.
DTSE-RO will not tolerate discrimination or harassment based on any of these characteristics.
By applying for this job you accept the DT privacy statement:
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By submitting your application, you consent to your data being processed electronically, including by third parties. Data is only passed on to HR service providers that have been carefully selected by Deutsche Telekom AG.
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