We are seeking an experienced and strategic Head of Applications Development to lead the architecture, development, and lifecycle management of enterprise applications across our global manufacturing operations.
The ideal candidate will play a pivotal role in enabling smart manufacturing, integrating ERP, MES, and IoT systems, and driving digital transformation aligned with Industry 4.0 principles.

REQUIRED SKILLS & EXPERIENCE

• 15+ years of experience in software development and architecture for large-scale, distributed platforms.
• At Least 5+ years of experience in leadership roles.
• Master’s degree in Computer Science, Information Technology, or a related field is required.
• Deep expertise in Java, J2EE, Python, SpringBoot, JavaScript, ReactJS, with strong system design and debugging skills.
• Deep knowledge of ERP/MES integration, smart factory solutions, and IoT platforms.
• Strong knowledge of Oracle, MySql and NoSQL databases, message queues, and distributed data systems.
• Hands-on experience with AI/ML model building, integration, including inference pipelines and model lifecycle management.
• Deep knowledge on SOLID Principles, Foundational Patterns, Enterprise Application Patterns and Cloud-Native and Microservices Patterns.
• Experience with AWS cloud components.
• Experience with cloud migrations and hybrid cloud/on-prem deployments.
• Familiarity with CI/CD, containerization (Docker), and orchestration tools (Kubernetes).
• Strong leadership in cross-site global environments.
• Familiar with manufacturing KPIs such as yield, downtime, throughput, lead time, and inventory turns.
• Security-first mindset: Knowledge of authentication, data protection, and compliance frameworks.
• Strong logical reasoning and critical thinking skills to analyze, optimize, and architect complex systems in dynamic enterprise environments.
• Excellent communication and collaboration skills in agile teams.

PREFERRED QUALIFICATIONS

• Experience in Machine learning frameworks (e.g., Scikit-learn).
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience building recommendation systems, chatbots, or predictive services.
• Knowledge of backend observability, circuit breaking, and self-healing systems.
• Understanding of data governance, feature stores, and stream processing.
• AWS and AI certifications are a plus.