Job Description



We are seeking an experienced Senior Technical Expert  to lead our technical strategy and execution. The ideal candidate will have a strong background in solution architecture, LCNC platforms, application development, and deep expertise in Python, OpenAI technologies, AWS, and containerization with Docker.
Key Responsibilities:

  • Technical Leadership:  Lead the technology strategy, guide the engineering team, and collaborate with stakeholders to deliver high-quality, scalable solutions.
  • Solution Architecture:  Design and oversee the development of robust, scalable, and efficient architectures, ensuring alignment with business needs.
  • LCNC Platforms:  Spearhead the development and integration of Low-Code/No-Code solutions to drive efficiency and rapid prototyping.
  • Application Development:  Oversee the development and deployment of custom applications, primarily using Python and other modern technologies.
  • AI & ML Integration:  Lead the development of AI-driven solutions using OpenAI and other advanced machine learning frameworks.
  • Cloud Infrastructure (AWS):  Architect and optimize cloud-based infrastructure on AWS, ensuring security, scalability, and cost-effectiveness.
  • Database Design:  Oversee the design and management of databases to ensure data integrity, performance, and scalability.
  • DevOps Practices:  Implement modern DevOps practices, including CI/CD, containerization (Docker), orchestration (Kubernetes), and automation.
  • Team Mentorship:  Mentor and grow the technical team, fostering an environment of learning and innovation.

Required Skills and Qualifications:

  • 10+ years of experience  in technology leadership roles, including solution architecture and application development.
  • Expertise in Low-Code/No-Code (LCNC) platforms , with a track record of building and deploying LCNC applications.
  • Proficiency in Python  and modern frameworks, with hands-on experience in application development.
  • Strong knowledge of AI/ML , specifically OpenAI frameworks and API integration.
  • Experience with Docker  and containerization technologies; familiarity with Kubernetes is a plus.
  • Advanced skills in AWS Cloud architecture , including experience with core services (EC2, S3, RDS, Lambda) and cloud-native design principles.
  • Proficiency in database design and management  (SQL, NoSQL databases such as MongoDB, PostgreSQL).
  • Solid understanding of DevOps practices  (CI/CD pipelines, GitHub Actions, infrastructure automation).
  • Strong problem-solving skills , with a passion for innovation and driving technical excellence.
  • Excellent communication and leadership skills with the ability to work collaboratively across teams.

Preferred Qualifications:

  • Experience in Agile or Scrum development methodologies.
  • Experience working with AI-powered applications and chatbots.
  • Familiarity with mobile application architecture and deployment.

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