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Senior Backend Engineer (IoT)

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Poland

Offer summary

Qualifications:

Proven experience in backend engineering, Proficiency in Python and another language, Experience in building RESTful APIs, Familiarity with AWS and data synchronization, Experience with Docker and Kubernetes.

Key responsabilities:

Design and implement Digital Twin Infrastructure
Gather and process data from IoT devices
Design secure data storage systems
Ensure synchronization between on-premise and AWS
Integrate various hardware into IoT ecosystem

Provectus Information Technology & Services SME https://www.provectus.com/

501 - 1000 Employees

See more Provectus offers

Job description

Join us at Provectus as part of a team dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

We seek an experienced Senior Backend Engineer with a versatile skill set and a generalist mindset to play a pivotal role in developing a Digital Twin Infrastructure. The ideal candidate is someone who can effectively adapt to different programming languages and tools, depending on project requirements. In this role, you will acquire data from various devices, design on-premise data storage solutions, and synchronize data with AWS cloud services. You will work closely with cross-functional teams to integrate data from sensors, cameras, and AI systems into a cohesive framework that enables real-time operational optimization.

Responsibilities:

Contribute to the design and implementation of the Digital Twin Infrastructure, enabling real-time monitoring and optimization of manufacturing processes.

Gather and process data from cameras, sensors (temperature, humidity, pressure), ingredient dosing machines, and other IoT devices.

Design and manage efficient and secure data storage systems within the manufacturing environment.

Implement secure and reliable synchronization between on-premise systems and AWS cloud services, ensuring seamless data flow.

Utilize OPC-UA and MQTT protocols for efficient and secure communication between devices and systems.

Develop and maintain PLC programs, particularly with Siemens systems, to interface with various hardware components.

Integrate hardware such as KUKA robots, Siemens Simatic HMI, and cameras into the IoT ecosystem, ensuring interoperability.

Ensure all data handling meets security standards and complies with relevant regulations.

Work closely with Solution Architects, DevOps Engineers, Delivery Managers, and Machine Learning Engineers to ensure seamless integration of IoT solutions.

Requirements:

Proven experience in backend engineering, with a generalist approach and the ability to adapt to new technologies, languages, and tools as needed.

Proficiency in Python is required, as is experience in at least one other programming language, such as Java, Rust, or similar.

Experience in building RESTful APIs and servers with standard frameworks.

Familiarity with cloud services such as AWS, including data synchronization and IoT integrations.

Hands-on experience with data acquisition from cameras and various sensors.

Experience with Docker for containerization and Kubernetes for orchestration.

Understanding of microservices architecture and related patterns.

Strong knowledge of testing frameworks and unit testing best practices.

Excellent problem-solving skills and ability to work collaboratively in a team environment.

Nice to Have:

Experience with CI/CD pipelines and automation.