Tech Lead

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.

• 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.
• 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.

• 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.