Python Software Developer

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.