
Chief Technologist
3 days ago
Lahore, Punjab, Pakistan
beBeeTechnologist
Full time
900,000 - 1,200,000
As a seasoned technology leader, you will spearhead the development of innovative software solutions that drive business growth in the Industrial Automation sector.
Key Responsibilities- Leverage cutting-edge tools such as AI-powered coding assistants to accelerate software development and enhance team efficiency.
- Champion the adoption of modern development methodologies to solve complex problems and boost productivity.
- Oversee the entire software development lifecycle from concept to deployment, ensuring timely and high-quality project delivery.
- Lead cross-functional teams, coordinating remote and on-site efforts to maximize impact and innovation.
- Align technical strategy with business objectives to drive business success.
- Design and develop robust backend systems using C#, .NET, Python, and SQL Server.
- Develop responsive and scalable front-end applications using modern frameworks like ReactJS, Angular, Tailwind, HTML, and CSS.
- Write clean, maintainable code and ensure high test coverage through unit testing and code reviews.
- Develop secure and scalable REST/SOAP APIs, incorporating AI-assisted monitoring and diagnostics.
- Integrate seamlessly with SCADA systems, PLCs, and third-party industrial platforms to enable real-time connectivity and data flow.
- Design and develop insightful reports and dashboards using Power BI, Tableau, and Excel.
- Perform in-depth data analysis to support informed decision-making and performance optimization.
- Build and maintain ETL pipelines using SSIS, working across various database environments including SQL Server, Oracle, and PostgreSQL.
- Minimum 10 years of hands-on software development experience, with at least 3 years in a leadership role.
- Proficient in C#, .NET, Python, SQL, and modern JavaScript UI frameworks.
- Demonstrated experience managing remote teams and delivering enterprise-grade applications using Agile methodologies.
- Strong familiarity with AI/ML tools, business intelligence platforms, and industrial automation technologies such as SCADA and PLC.
- Bachelor's degree in Software Engineering, Computer Science, or a related field.
- Direct experience using AI-enhanced development tools (e.g., GitHub Copilot, ChatGPT, or equivalents) in a professional setting.
- Exposure to AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud-based AI services (e.g., Azure AI, AWS SageMaker), or data science platforms.
- Foundational understanding of DevOps practices and CI/CD pipeline configuration.