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Expert cloud backend architect

Uberaba
beBee Careers
Anunciada dia 13 junho
Descrição

About the Role
We are seeking an experienced .NET Developer to join our team and work on a sophisticated system designed to reduce healthcare costs through drug cost transparency at the point of care. This is a chance to solve complex, real-world problems using modern technologies and advanced algorithms.

The platform features multiple integrations, robust APIs, and a cutting-edge microservice architecture built on the cloud. If you excel in data structures, algorithm design, and enjoy solving challenging backend problems, this role is for you.

As a key member of our agile development team, you will:
* Design and build scalable backend systems.
* Solve algorithmic challenges and implement efficient solutions to process large datasets.
* Participate in architectural decisions to develop innovative solutions for healthcare.
* Optimize code for performance, scalability, and reliability.
* Collaborate with stakeholders and team members to develop features and ensure quality.
* Extend test coverage to validate complex backend logic.

Technical Requirements
To be successful in this role, you should have:
* Backend: C#/.NET Core 8, Entity Framework.
* Databases: PostgreSQL, MySQL, Redis, NoSQL DB.
* Tools: Docker, Hangfire.
* Cloud: AWS.
* 8+ years of experience with .NET development (.NET Core 8 preferred).
* Proven expertise in data structures, algorithms, and backend performance optimization.
* Hands-on experience with PostgreSQL and strong SQL knowledge.
* Deep understanding of object-oriented programming (OOP) and design patterns.
* Experience with Entity Framework/NHibernate, Hangfire, and Redis.
* Demonstrated ability to design and build cloud-based SaaS multi-tenant systems.
* Strong analytical and problem-solving skills, particularly in solving algorithmic challenges.
* Fluent in English (C1 level) for effective communication in a dynamic team.

Bonus Points
It would be great if you also have experience with:
* Stream data processing and handling large-scale datasets.
* Advanced cloud service experience (e.g., AWS, Azure).
* Knowledge of Dockerization and containerized application deployment.
* Familiarity with NoSQL databases or message queues.

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