Software Engineer, Backend
Builds and maintains scalable backend systems and APIs, collaborating with cross-functional teams to deliver high-performance solutions aligned with business needs. Requires 5+ years experience with Python/Go, databases, cloud platforms, and containerization.
About the job
What you’ll do
- Design, develop, and maintain scalable backend services that support our applications and infrastructure.
- Implement secure and efficient APIs to support frontend applications and third-party integrations.
- Optimize system performance, reliability, and scalability through effective architecture and engineering best practices.
- Work closely with product managers, data analysts, and frontend engineers to develop backend solutions that align with business and user needs.
- Ensure high availability, fault tolerance, and performance of backend systems.
- Monitor system health, troubleshoot issues, and implement improvements to enhance efficiency and stability.
- Maintain security best practices to protect user data and system integrity.
- Stay up to date with industry trends and emerging technologies in backend development and distributed systems.
Who you are
- 5+ years of experience in backend development, building scalable and reliable applications.
- Strong proficiency in programming languages such as Python, Java, or Go. Python and Go are preferred.
- Experience with database technologies such as PostgreSQL, MySQL, or NoSQL solutions.
- Familiarity with designing and integrating APIs, including REST and GraphQL.
- Understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Strong problem-solving skills and the ability to optimize system performance and reliability.
- Excellent communication skills and the ability to work effectively in a collaborative environment.
Preferred Qualifications
- Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.).
- Knowledge of caching strategies and performance optimization techniques.
- Experience working on large-scale, high-traffic applications.
- Familiarity with CI/CD pipelines and DevOps best practices.
- Exposure to machine learning or data-driven applications.
Skills
Python, Go, Java, Postgres, MySQL, Rest, GraphQL, Docker, Kubernetes, AWS, GCP, Azure, Kafka, RabbitMQ, CI/CD
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