Software Architect and Technical Leader

24 hours ago


Muscat, Muscat, Oman beBee Careers Full time

**Tech Lead/Software Architect**: We are seeking a highly experienced and innovative professional to lead the technical vision, architecture, and development strategy for our cutting-edge observability platform.

About the Role
  • We need someone with significant experience in designing scalable, high-performance, data-intensive applications or platforms, preferably in telecom, enterprise software, or AI-driven environments.
  • The ideal candidate will have deep expertise in designing microservices architectures, distributed systems, and real-time data processing pipelines.
Responsibilities
  • This role involves defining and driving the overall technical vision, architecture, and development strategy for the observability platform.
  • You will collaborate closely with cross-functional teams to design scalable, secure, and high-performance systems that integrate complex telecom data streams and AI-driven features.
  • Your leadership will ensure technical excellence, promote best practices, and guide the engineering team in delivering a robust, next-generation product.
  • Key responsibilities include:
    • Technical Vision & Architecture
      • Define and articulate the platform's technical vision and roadmap in alignment with business goals and stakeholder requirements.
      • Design a scalable, modular, and secure system architecture that supports real-time data ingestion, processing, and AI/ML integration.
      • Evaluate and select appropriate technologies, frameworks, and tools to ensure high performance and maintainability.
    • Lead, mentor, and inspire a cross-functional engineering team, ensuring adherence to best practices, coding standards, and agile methodologies.
    • Collaborate closely with Product Managers, Data Engineers, AI/ML teams, and UX/UI Designers to translate requirements into innovative technical solutions.
    • Foster a culture of continuous improvement and technical excellence through regular code reviews, technical discussions, and knowledge sharing.
    • System Integration & Scalability
      • Oversee the integration of multiple data sources, including telecom network elements, OSS, and network management systems, into a unified platform.
      • Ensure seamless integration of AI-driven features (e.g., natural language processing, automated reporting, anomaly detection) with the core system.
      • Architect solutions that are scalable, fault-tolerant, and optimized for performance in a data-intensive, real-time environment.
    • Security & Compliance
      • Collaborate with Security Engineers to integrate security best practices into the design and development lifecycle.
      • Ensure that the platform complies with industry standards and regulatory requirements regarding data privacy and security.
    • Participate in strategic planning, sprint planning, and technical reviews to drive successful project execution.
    • Identify risks, resolve complex technical challenges, and proactively recommend solutions to improve system performance and reliability.
    • Maintain comprehensive documentation of architectural designs, technical decisions, and system configurations.
    Requirements
    • 8–12+ years of professional experience in software development, with significant experience in system architecture and technical leadership roles.
    • Proven track record in designing and delivering scalable, high-performance, data-intensive applications or platforms, preferably in telecom, enterprise software, or AI-driven environments.
    Desired Skills and Qualifications
    • Deep expertise in designing microservices architectures, distributed systems, and real-time data processing pipelines.
    • Proficiency in multiple programming languages (e.g., Java, Python, Node.js) and familiarity with modern frameworks and tools.
    • Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
    • Strong understanding of API design, integration strategies, security best practices, and performance optimization.
    • Prior exposure to AI/ML integrations and working with generative AI or LLM technologies is a plus.
    Benefits and Rewards
    • A competitive compensation package and meaningful equity opportunities.
    • Comprehensive health coverage.
    • Flexibility and work-life balance.
    • Career growth and learning opportunities.


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