Python Software Developer
5 days ago
Role & responsibilities :
- Design and develop robust software applications and middleware to integrate PLC data, third-party APIs, and enterprise systems.
- Architect system components ensuring scalable, maintainable, and secure software solutions tailored for industrial automation environments.
- Collaborate closely with PLC Integration Engineers and automation teams to understand hardware constraints, communication protocols, and system requirements.
- Develop, test, and deploy backend services, APIs, and data processing pipelines to enable real-time control and monitoring.
- Implement front-end interfaces and dashboards for visualization and user interaction with PLC-driven processes.
- Create and maintain technical documentation including system architectures, API specifications, and integration workflows.
- Evaluate and apply modern software development methodologies such as Agile, DevOps, CI/CD pipelines to optimize delivery and quality.
- Integrate cloud services and edge computing technologies as needed for advanced data analytics, IoT, and remote monitoring.
- Analyze system performance and scalability, implementing optimizations and refactoring as necessary.
- Ensure cybersecurity best practices in software development with a focus on networked industrial control environments.
Preferred candidate profile :
- Bachelors or masters degree in Computer Science, Software Engineering, or related discipline.
- Strong experience in software development using languages such as Python, Java, C#, or JavaScript/TypeScript.
- Proven expertise in system design, microservices architecture, and API development.
- Familiarity with industrial communication protocols and concepts to effectively collaborate with PLC integration teams.
- Experience with databases (SQL and NoSQL), message brokers (MQTT, Kafka), and real-time data processing.
- Knowledge of front-end development frameworks (React, Angular, or Vue) for HMI/dashboard creation.
- Hands-on experience with server setup, cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
- Understanding of networking principles, security, and best practices in industrial and enterprise environments.
- Excellent problem-solving, analytical, and communication skills.
Preferred Experience:
- Previous work in industrial automation, robotics, or manufacturing software. – IOT experience
- Exposure to OPC UA, MQTT, or other protocols for IoT integration.
- Experience with AI/ML for predictive maintenance or process optimization.
- Contributions to open-source industrial automation projects or frameworks.
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