Backend Software Engineer

1 week ago

Muscat, Muscat, Oman beBee Careers Full time

About the Role

We are seeking a talented Software Engineer - Data Architect to join our team. In this role, you will design and develop scalable server-side architectures that power our observability platform.

You will work closely with cross-functional teams to build robust APIs, data pipelines, and real-time processing systems that ingest and process massive amounts of telecom data. Your contributions will ensure our platform delivers reliable and timely insights to both operational and executive users.

Key Responsibilities
  • Data Integration and Processing
    • Design and implement RESTful APIs and microservices to support data ingestion, processing, and integration with front-end components.
    • Ensure APIs are scalable, secure, and optimized for real-time data processing.
  • Data Pipelines and Real-Time Processing
    • Develop back-end components that handle high-volume, low-latency data streams.
    • Optimize system performance, ensuring high availability and rapid response times for critical observability metrics.
  • Collaboration and Communication
    • Work closely with cross-functional teams to translate product requirements into technical specifications and actionable tasks.
    • Participate in agile development practices including sprint planning, daily stand-ups, and code reviews.
  • Security and Compliance
    • Implement security best practices to protect sensitive telecom data.
    • Ensure the back-end architecture adheres to industry standards and regulatory requirements.
Requirements
  • Experience
    • 3–7+ years of professional experience in back-end development, with a strong portfolio of building scalable, data-intensive applications.
    • Proven experience with designing and developing RESTful APIs and microservices.
  • Skills
    • Proficiency in server-side programming languages (e.g., Node.js, Python, Java, or similar).
    • Experience with databases (SQL and NoSQL) and data processing frameworks.
    • Strong understanding of real-time data integration techniques, message brokers (e.g., Kafka, RabbitMQ), and cloud services (e.g., AWS, Azure, GCP).
    • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
    • Knowledge of security best practices and data compliance standards.
  • Education
    • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Preferred Qualifications
  • Experience in developing real-time data systems or observability platforms.
  • Prior exposure to telecom networks, OSS, or similar data-intensive environments.
  • Familiarity with AI/ML integration, especially in handling data for Gen AI or LLM-driven applications.

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