Backend Software Engineer

7 days ago

St John's, Newfoundland and Labrador, Canada CGS (Computer Generated Solutions) Full time
About the Role

We are seeking a highly skilled Backend Developer to join our engineering team responsible for building and scaling backend services. This position requires expertise in microservices architecture, API development, cloud infrastructure, and database optimization.

Key Responsibilities:

  • Design and Development: Design, build, and maintain RESTful APIs and microservices to integrate with AI-driven analytics, real-time insights, and secure authentication mechanisms.
  • Data Processing and ETL Pipelines: Work with ETL jobs to optimize data ingestion, transformation, and storage using PostgreSQL-based databases.
  • Database Management: Implement scalable, secure, and high-performance databases using PostgreSQL, ensuring efficient data management.
  • API Integration: Build API endpoints to integrate with customer analytics, deal management, and partner insights, enhancing business decision-making capabilities.
  • Cloud Deployment and Infrastructure: Deploy and manage backend services using OpenShift, AWS, and Redis for caching, ensuring seamless scalability and reliability.
  • Authentication and Authorization: Implement secure Single Sign-On (SSO) authentication and role-based access control (RBAC), safeguarding sensitive business data.
  • Performance Optimization: Enhance API response times, database queries, and ensure backend services scale efficiently to meet business demands.
  • Logging and Monitoring: Implement monitoring and logging using Splunk and SignalFX, enabling real-time visibility into system performance and identifying areas for improvement.

Requirements and Qualifications:

  • Programming Languages: Proficiency in Python, Java, or Golang for backend development.
  • Microservices and API Development: Experience with RESTful APIs, FastAPI, Swagger/OpenAPI documentation, and design principles.
  • Database and Data Processing: Strong knowledge of PostgreSQL, Redis, SQL query optimization, and ETL pipelines, ensuring efficient data processing.
  • Cloud and DevOps: Familiarity with AWS, OpenShift, Kubernetes, CI/CD pipelines (GitLab, Jenkins), and containerization techniques.
  • Security and Authentication: Experience with OAuth, SSO (Single Sign-On), JWT-based authentication, and threat modeling to safeguard against security risks.
  • Logging and Monitoring: Knowledge of Splunk, SignalFX, distributed tracing tools (Jaeger), and log analysis to identify performance bottlenecks.

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