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Software Engineer

Sinch is an enterprise software company providing cloud communication and customer engagement solutions.
Stockholm, Sweden
Backend
Mid-Level Software Engineer
Hybrid
Enterprise SaaS

Job Description

Sinch is seeking a Software Engineer to join their Product Messaging Network & API team in Stockholm, Sweden. This role offers a hybrid work arrangement and focuses on backend development using Python and Java technologies. The ideal candidate will have strong experience in both Python and Java programming, along with practical knowledge of Kubernetes in production environments. The position involves working with AI/ML libraries and data analysis using Jupyter Notebook, suggesting a role that combines traditional backend development with data science aspects.

The company provides cloud communication solutions and is looking for engineers who can contribute to their enterprise-scale systems. This position offers an opportunity to work with modern technologies in a global company that values technical expertise and innovation. The hybrid work model provides flexibility while maintaining in-person collaboration opportunities.

The role requires a mix of technical skills including cloud technologies, containerization, and programming languages, making it suitable for engineers who enjoy working with diverse technologies. The position appears to be at the mid-level, requiring practical experience with key technologies rather than entry-level knowledge.

Sinch offers visa sponsorship for qualified candidates, indicating their commitment to finding the best talent regardless of location. The company has a strong presence in the enterprise SaaS space and provides opportunities to work on systems that serve global clients. This role would be ideal for a software engineer looking to work with modern technologies in a company that's focused on communication solutions and has a significant market presence.

Last updated 2 months ago

Requirements For Software Engineer

Python
Java
Kubernetes
  • Professional experience with Python
  • Professional experience with Java
  • Experience with Kubernetes in a production environment
  • Experience with AI/ML libraries
  • Experience with Jupyter Notebook for data analysis

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