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Join to apply for the Software Engineer - Industrial IoT role at Canonical

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Join to apply for the Software Engineer - Industrial IoT role at Canonical

This is an exciting opportunity for a software engineer passionate about open source software, Linux, edge computing, and IoT. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.

Your role will be to help us provide easy to deploy, secure, and customizable industrial edge solutions. You will work on designing and implementing applications that run on constrained IoT devices to powerful gateways. Embedded systems and Linux will be at the core of your everyday challenges.

In our team we value collaboration, peer reviews, good integration/unit testing and writing maintainable code. General knowledge and experience with Linux as a developer platform is required.

What you'll do

• Collaborate proactively with a distributed team
• Develop and maintain open source IoT application packages
• Debug issues and produce high quality code to fix them
• Review code produced by upstream and/or other engineers at Canonical
• Discuss ideas and collaborate on finding good solutions
• Experiment with Ubuntu Core and showcase industry-grade IoT solutions
• Contribute to the development of IoT platforms
• Contribute to building Edge AI solutions
• Participate in IoT standardisation working group discussions and planning (Connectivity Standards Alliance, Web of Things, etc)
• Work on Matter, the connectivity standard unifying smart homes
• Work from home with global travel 2 to 4 weeks for internal and external events
  
  

• Proven track record of at least 3 years of professional software development using Go or C++.
• You have experience working with RESTful APIs or asynchronous messaging protocols
• You have interest and experience with a few of the following:
• Containers (docker, kubernetes)
• Linux distributions
• Snap, debian, or RPM packaging
• Shell scripting
• CI/CD (Github Actions, Gitlab CI, etc)
• IoT frameworks and protocols
• Real-time applications
• AIML inference frameworks
• You value soft skills, communication and advocacy, and are passionate, enterprising, thoughtful, and self-motivated
• You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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JOB TO BE BASED IN SAUDI ARABIA

Overview:

We are seeking Downstream Data Analytics Engineer (Data Scientist) to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Key Responsibilities:

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements:

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
• 18 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in UPSTREAM and/or DOWNSTREAM OIL & GAS INDUSTRY.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers preferred

REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

VACANCIES/ Telecom Engineer ( with IoT experienced)

Telecom Engineer ( with IoT experienced)

ICT

The Telecom Engineer with IoT Experience will be responsible for designing, deploying, and maintaining telecommunication systems that integrate Internet of Things (IoT) technologies. The role involves managing telecommunication infrastructure, optimizing network performance for IoT devices, and working closely with IoT solutions to ensure seamless connectivity and data transmission. The engineer will play a key role in supporting the business’s telecommunication needs in the context of emerging IoT technologies and networks.

ROLES & RESPONSIBILITIES

• Design and maintain telecommunications systems, including wired and wireless networks.
• Ensure the infrastructure can support a high volume of IoT devices across multiple locations.
• Plan, deploy, and manage IoT solutions across the telecom network.
• Ensure reliable and secure connectivity for IoT devices using telecom protocols.
• Configure and troubleshoot communication modules in IoT devices (e.g., LTE, 5G, LoRa, NB-IoT).
• Maintains relationships with selected for Telecom hardware & software for proper handling & support of telecom equipment/services.
• Builds and maintains effective relationships with all other related departments and units to achieve the Group’s goals/objectives in network monitoring, availability, and growth.
• Responsible for the maintenance of Telecom systems & equipment at the Group’s sites.
• Performs on-site/remote technical support of Telecom Systems and equipment.
• Evaluates existing Telecom systems, and proposes possible improvements initiates and handles Telecom projects, and ensures compliance with requirements, specifications, and deadlines.
• Initiates Telecom policies and ensures enforcing them.
• Maintains proper documentation of Telecom network. Supervises the employed Telecom technicians.
• Supervises the outsourced Telecom support. Maintains a working knowledge of Telecom switching and monitoring systems.
• Possesses in-depth technical knowledge in Telecom network & technical support to ensure reliable service delivery and security and resolve any business disruption or inconvenience to users.
• Optimize the telecom network to handle IoT traffic and ensure high performance and low latency for IoT applications.
• Monitor and manage the scalability of IoT devices connected to the network.
• Perform capacity planning to ensure sufficient bandwidth and resources for IoT devices.
• Implement and maintain security protocols and standards to protect IoT networks from vulnerabilities and threats.
• Ensure compliance with security regulations and data privacy policies in IoT solutions.
• Work closely with IoT development teams, software engineers, and business units to ensure seamless integration of IoT solutions within the telecom network.
• Provide ongoing support for troubleshooting and resolving telecom and IoT-related issues.
• Set up and maintain network monitoring systems for IoT devices and services.
• Create reports and dashboards on network performance, uptime, and device status.
• Stay updated with the latest telecom and IoT technologies and industry trends.

REQUIRED COMPETENCIES

• In-depth knowledge of telecom protocols (e.g., LTE, 5G, NB-IoT, LoRaWAN).
• Hands-on experience with IoT platforms and devices, such as sensors, gateways, and actuators.
• Understanding of IP networking, wireless communication standards, and RF technologies.
• Experience with network monitoring and troubleshooting tools (e.g., Wireshark, NetFlow).
• Familiarity with cloud platforms (e.g., AWS IoT, Azure IoT) for IoT device management.
• Security Skills:
• Knowledge of telecom and IoT security practices, including encryption protocols, access control, and network segmentation.

EXPERIENCE AND QUALIFICATION

• Bachelor’s degree in Telecommunications, Electronics, Computer Science, or related fields.
• Certifications in telecom and networking (e.g., CCNA, CCNP, IoT Specialization) are preferred.

Telecom Engineer ( with IoT experienced)

Business Unit : Job Description :

The Telecom Engineer with IoT Experience will be responsible for designing, deploying, and maintaining telecommunication systems that integrate Internet of Things (IoT) technologies. The role involves managing telecommunication infrastructure, optimizing network performance for IoT devices, and working closely with IoT solutions to ensure seamless connectivity and data transmission. The engineer will play a key role in supporting the business’s telecommunication needs in the context of emerging IoT technologies and networks.

ROLES & RESPONSIBILITIES

• Design and maintain telecommunications systems, including wired and wireless networks.
• Ensure the infrastructure can support a high volume of IoT devices across multiple locations.
• Plan, deploy, and manage IoT solutions across the telecom network.
• Ensure reliable and secure connectivity for IoT devices using telecom protocols.
• Configure and troubleshoot communication modules in IoT devices (e.g., LTE, 5G, LoRa, NB-IoT).
• Maintains relationships with selected for Telecom hardware & software for proper handling & support of telecom equipment / services.
• Builds and maintains effective relationships with all other related departments and units to achieve the Group’s goals / objectives in network monitoring, availability, and growth.
• Responsible for the maintenance of Telecom systems & equipment at the Group’s sites.
• Performs on-site / remote technical support of Telecom Systems and equipment.
• Evaluates existing Telecom systems, and proposes possible improvements initiates and handles Telecom projects, and ensures compliance with requirements, specifications, and deadlines.
• Initiates Telecom policies and ensures enforcing them.
• Maintains proper documentation of Telecom network. Supervises the employed Telecom technicians.
• Supervises the outsourced Telecom support. Maintains a working knowledge of Telecom switching and monitoring systems.
• Possesses in-depth technical knowledge in Telecom network & technical support to ensure reliable service delivery and security and resolve any business disruption or inconvenience to users.
• Optimize the telecom network to handle IoT traffic and ensure high performance and low latency for IoT applications.
• Monitor and manage the scalability of IoT devices connected to the network.
• Perform capacity planning to ensure sufficient bandwidth and resources for IoT devices.
• Implement and maintain security protocols and standards to protect IoT networks from vulnerabilities and threats.
• Ensure compliance with security regulations and data privacy policies in IoT solutions.
• Work closely with IoT development teams, software engineers, and business units to ensure seamless integration of IoT solutions within the telecom network.
• Provide ongoing support for troubleshooting and resolving telecom and IoT-related issues.
• Set up and maintain network monitoring systems for IoT devices and services.
• Create reports and dashboards on network performance, uptime, and device status.
• Stay updated with the latest telecom and IoT technologies and industry trends.

Minimum Qualifications :

REQUIRED COMPETENCIES

• In-depth knowledge of telecom protocols (e.g., LTE, 5G, NB-IoT, LoRaWAN).
• Hands-on experience with IoT platforms and devices, such as sensors, gateways, and actuators.
• Understanding of IP networking, wireless communication standards, and RF technologies.
• Experience with network monitoring and troubleshooting tools (e.g., Wireshark, NetFlow).
• Familiarity with cloud platforms (e.g., AWS IoT, Azure IoT) for IoT device management.
• Security Skills :
• Knowledge of telecom and IoT security practices, including encryption protocols, access control, and network segmentation.

EXPERIENCE AND QUALIFICATION

• Bachelor’s degree in Telecommunications, Electronics, Computer Science, or related fields.
• Certifications in telecom and networking (e.g., CCNA, CCNP, IoT Specialization) are preferred.