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Software Engineer – Backend

Software Engineer – Backend

CompanyCharacter.AI
LocationMenlo Park, CA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
Degrees
Experience LevelSenior

Requirements

  • 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.

Responsibilities

  • 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.

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.