Design – Contribute to the design of scalable, robust, and maintainable software systems, participating in key technology decisions .
Coding & Development – Write clean, efficient, well-tested code, following best practices and TDD principles.
Backend Development – Work on backend services and data processing pipelines, integrating with both relational and non-relational data stores.
Technical Problem Solving – Analyze complex challenges and deliver innovative solutions.
Performance Optimization – Identify and resolve performance bottlenecks to ensure efficiency.
DevOps Practices – Contribute to CI/CD pipelines, automated testing, and cloud deployments.
What you'll need
3–5 years of backend software engineering experience.
Proficient in Java (Java 17 preferred) and object-oriented programming.
Experience with Spring Boot for backend development.
Familiarity with relational and NoSQL databases.
Basic knowledge of Python for scripting and automation.
Basic understanding of Apache Spark (Java API experience a plus).
Experience working with Azure (or AWS) cloud services.
Knowledge of CI/CD, GitHub Actions, monitoring, and logging tools.
Strong problem-solving mindset and collaborative approach.
Nice-to-Have Experience in large-scale maps, geospatial, or data processing projects. Knowledge of containerization (Docker, Kubernetes).Familiarity with REST API design and integration.
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