Software Engineer

As a Software Engineer at our leading automation company, you'll collaborate with cross-functional teams to develop cloud-native web applications and quickly prototype solutions with AI-driven and low-code tools. You'll analyze customer requirements and communicate with engineers to ensure the software solutions are efficient and effective, while also exploring various edge and cloud architectures to integrate applications with automation systems.

To become a Software Engineer at our automation company, candidates must possess a Bachelor's degree (or higher) in Science or Engineering, alongside 3-5 years of relevant experience. Strong analytical and problem-solving skills are essential, along with a basic understanding of databases, RESTful APIs, and proficiency in programming languages such as SQL, C, Java, or Python.

A Software Engineer at our automation company should have experience with low-code platforms and cloud-native architecture. Familiarity with industrial automation systems, IoT platforms, databases like PostgreSQL, and programming languages including JavaScript and CSS are highly beneficial. Additionally, knowledge of tools such as NodeRed and MQTT can enhance your contributions to our dynamic projects.

Our automation company is committed to continuous learning and development. As a Software Engineer, you'll have access to various training programs and professional development opportunities to foster your growth in software architecture and emerging technologies. We're dedicated to equipping you with the skills needed to excel in the evolving industrial automation landscape.

As a Software Engineer at our company, you'll enjoy an upbeat and friendly work environment that encourages collaboration and innovation. We value work-life balance and provide a supportive culture where you can thrive among other experts in the field, all while contributing to the exciting future of industrial automation.

When answering this question, highlight any specific low-code platforms you’ve worked with, such as Mendix or Power Platform. Discuss projects where you utilized these tools to enhance efficiency in software development, focusing on the outcomes and how you collaborated with team members.

Explain your understanding of cloud-native architectures, and any frameworks or technologies you've used. Discuss how you prioritize scalability, microservices, and performance in your architectural choices, and share an example where you successfully implemented these principles.

Mention specific resources, such as online courses, webinars, industry blogs, or conferences you follow. Emphasize your commitment to lifelong learning and share any recent technologies or trends you’ve discovered, especially related to industrial automation and AI.

Provide a specific situation that illustrates your problem-solving skills. Detail the challenge, your thought process, and the steps you took to arrive at a solution, including collaboration with team members if applicable.

Discuss your approach to simplifying complex concepts using analogies or visual aids. Highlight any experiences where you successfully bridged the communication gap between technical teams and non-technical stakeholders, fostering understanding and collaboration.

List the primary programming languages you excel in, such as Java, Python, or SQL. Provide specific examples of projects where you utilized these languages, emphasizing your specific contributions and the outcomes.

Share your systematic approach to debugging, including tools and methods you use to identify and fix issues. Provide an example where your approach led to a successful resolution of a complex bug.

Explain your understanding of integration techniques and protocols. Discuss any previous experiences where you integrated new software, detailing the challenges faced and how you managed to ensure compatibility and performance.

Share your passion for technology and its potential to revolutionize industries. Discuss how you align your personal values with the goals of industrial automation, such as efficiency, safety, and innovation.

Describe your approach to task management, such as using project management tools and methodologies like Agile. Provide an example of how you successfully met tight deadlines while maintaining the quality of your software solutions.