Lead technical strategy and architecture, drive LCNC and custom Python application development, integrate OpenAI/AI solutions, design AWS cloud infrastructure, implement containerization and DevOps practices, oversee database design, and mentor engineering teams to deliver scalable, secure solutions.
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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