Tech Lead / Software Architect Offline

About BYANAT

We are building a next-generation AI-powered platform designed for comprehensive observability of digital infrastructure, including mobile networks and data centers. By leveraging advanced analytics, automation, and real-time monitoring, we empower businesses to optimize performance, enhance reliability, and prevent failures before they happen.
 
Our platform delivers deep insights, anomaly detection, and predictive intelligence, enabling telecom operators, cloud providers, and enterprises to maintain seamless connectivity, operational efficiency, and infrastructure resilience in an increasingly complex digital landscape.

We have two offices, one in Doha, Qatar, and another in Muscat, Oman. This position requires relocation to one of these offices.

Kindly apply only if you are open to relocation, or if you are based in Ukraine, have the necessary permissions to travel internationally.

Job Summary
As the Tech Lead / Software Architect, you will be responsible for defining and driving the overall technical vision, architecture, and development strategy for our cutting-edge observability platform. You will collaborate closely with cross-functional teams—including Product Management, UX/UI, Data Engineering, AI/ML, and Operations—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

• 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.
• Leadership & Collaboration
  • 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.
• Project Oversight & Continuous Improvement
  • 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.

 
Required Qualifications

• Experience:
  • 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.
• Technical Skills:
  • 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.
• Leadership & Soft Skills:
  • Demonstrated ability to lead, mentor, and manage technical teams in an agile, fast-paced environment.
  • Excellent problem-solving, analytical, and decision-making skills.
  • Strong communication and interpersonal skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Proven experience in stakeholder management and cross-functional collaboration.
• Education:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. An advanced degree (MS or Ph.D.) is a plus.

 
Preferred Qualifications

• Experience working on AI-driven products or observability platforms.
• Familiarity with telecom network systems and real-time data analytics.
• Relevant certifications in cloud architecture, security, or agile methodologies.

 
Benefits
✅ Competitive Compensation & Equity – We recognize your value with a highly competitive salary and a meaningful equity package.
🏥 Comprehensive Health Coverage – Enjoy top-tier medical insurance to keep you and your loved ones covered.
🌍 Flexibility & Work-Life Balance – Choose where and how you work with hybrid and remote-friendly options.
🚀 Career Growth & Learning – Access to advanced training, mentorship programs, and global industry conferences to accelerate your professional development.
🤝 Impact-Driven Culture – Join an innovative, fast-paced team where your expertise directly influences the future of AI-driven telecom network management.