Welcome to the team:

Commerzbank -Tuk - Tam Kosher (m/f/diverse)

Whether you work in development, infrastructure, data, or support, we value:

• Tech-First Mindset: Passion for building clean, scalable, and efficient technology solutions, with a focus on writing maintainable code, applying modern design patterns, and leveraging the right tools and cloud platforms (Azure, GCP, Kubernetes, CI/CD) to solve real business problems - not just using technology for its own sake.

• Problem Solvers: The ability to dive into complex, distributed systems, understand how components interact, and identify bottlenecks or failure points. You’re comfortable debugging issues across environments, proposing pragmatic solutions, and continuously improving performance, reliability, and security of our services.

• Collaborative Spirit: A desire to share knowledge openly, participate actively in code reviews, pair program with colleagues, and contribute to architecture/design discussions. We value clear communication, give and receive constructive feedback, and enjoy building solutions together across cross‑functional teams (developers, Оps, QA, and business stakeholders).

• Core Tech Skills: Experience with industry-standard stacks like Java / Spring Boot, Python (e.g., Django, Flask, FastAPI), JavaScript / TypeScript, React, Docker, Kubernetes, RESTful APIs, and relational / NoSQL databases (e.g., PostgreSQL, MongoDB) as well as cloud platforms such as Microsoft Azure and Google Cloud Platform (GCP).

• Language Skills (Nice to Have): Working proficiency in German is an advantage, as it helps in collaborating more closely with colleagues and stakeholders in Germany. It is not a mandatory requirement, and strong technical skills and English proficiency remain our primary focus. 

At Commerzbank Digital Technology Centre Sofia, we deliver innovative, cloud‑native banking and financial software solutions, built on modern microservices architectures, APIs, and resilient data platforms across Azure, GCP (Google Cloud Platform). We increasingly leverage Data Analytics, AI, and Machine Learning to build smarter, more personalized, and automated financial services - from intelligent risk and fraud detection to advanced customer insights and process optimization. Our engineering and IT teams are built on a culture of curiosity, technical excellence, and continuous growth.

We want to make the application process as smooth and transparent as possible. Here is what we offer you right from the start:

• We respect your time: Our interview process is streamlined, focusing on practical tech skills rather than tedious trick questions.
• We review every profile: A real member of our engineering or HR team - not just a bot - will look at your resume.
• We stay in touch: Even if the timing isn't perfect for this exact role, we frequently reach out to talent pool candidates first when new technical projects open up.
• Application Feedback: Due to the high volume of applications, we contact only the candidates who best match the role requirements. If you do not hear from us within 14 days, please consider that we won't proceed with your application at this stage.