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Technical Team Lead
3 weeks ago
Avanceon is seeking a dynamic and experienced Technical Team Lead to drive the development of cutting-edge software solutions in the Industrial Automation domain.
This is a hands-on leadership role requiring deep technical expertise, a passion for innovation, and the ability to guide teams using modern development practices—including AI-powered tools—to boost productivity, streamline processes, and foster continuous improvement.
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Leverage AI tools such as GitHub Copilot, ChatGPT, and similar technologies to accelerate coding, testing, and documentation processes.
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Champion the adoption of AI in development workflows to solve complex problems and enhance team efficiency and skill sets.
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Lead and manage the complete software development lifecycle from concept to deployment.
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Coordinate cross-functional, remote, and on-site teams to ensure timely and high-quality project delivery.
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Align technical strategy with business objectives to maximize impact and innovation.
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Architect and develop robust backend systems using C#, .NET, Python, and SQL Server.
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Design responsive and scalable front-end applications using modern frameworks such as ReactJS, Angular, Tailwind, HTML, and CSS.
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Write clean, maintainable code and ensure high test coverage through unit testing and code reviews.
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Develop secure and scalable REST/SOAP APIs, incorporating AI-assisted monitoring and diagnostics.
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Integrate seamlessly with SCADA systems, PLCs, and third-party industrial platforms to enable real-time connectivity and data flow.
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Design and develop insightful reports and dashboards using Power BI, Tableau, and Excel.
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Perform in-depth data analysis to support decision-making and performance optimization.
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Build and maintain ETL pipelines using SSIS, and work across various database environments including SQL Server, Oracle, and PostgreSQL.
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10 years of hands-on software development experience, with at least 3 years in a team leadership role.
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Proficient in C#, .NET, Python, SQL, and modern JavaScript UI frameworks.
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Demonstrated experience managing remote teams and delivering enterprise-grade applications using Agile methodologies.
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Strong familiarity with AI/ML tools, business intelligence platforms, and industrial automation technologies such as SCADA and PLC.
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Bachelor's degree in Software Engineering, Computer Science, or a related field.
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Direct experience using AI-enhanced development tools (e.g., GitHub Copilot, ChatGPT, or equivalents) in a professional setting.
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Exposure to AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud-based AI services (e.g., Azure AI, AWS SageMaker), or data science platforms.
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Foundational understanding of DevOps practices and CI/CD pipeline configuration