DevOps Engineer

PHASOR Engineering Inc. is a dynamic consulting firm specializing in the engineering and design of overhead & underground transmission/distribution systems, substations, fibre optics, as well as substation and transmission foundations. Our expertise allows us to be involved in a diverse range of projects from conceptual engineering through to commissioning and startup. We are currently seeking a highly motivated Telecom Design Engineer to join our BC engineering team. We offer a dynamic work environment with an extremely experienced technical team, where you will be fully involved in all aspects of the engineering and design process.   As a Telecom Design Engineer, you will be responsible for the design, implementation, and maintenance of the infrastructure for HFC networks. This includes planning and designing HFC networks, conducting surveys of existing infrastructure, coordinating with internal teams and external contractors, and maintaining accurate records of network infrastructure and equipment. You will be leading a team of designers and expected to mentor and coach team members through standards and best practices.   Responsibilities ·         Plan and design HFC networks, including the selection of appropriate cable types, sizes, and routing; ·         Determine the best pathway for cable placement and inform the designer of any roadblocks while identifying other utilities that may be in conflict; ·         Review completed design for errors and efficiency. ·         Ensure design specifications are maintained. ·         Adhere to appropriate quality standards set out in the design requirements ·         Advise, train, and guide other designers. ·         Conduct surveys of existing infrastructure to identify the best locations for new cables & equipment and to ensure the overall success of the HFC network; ·         Coordinate with internal teams and external contractors to ensure the timely installation and maintenance of HFC infrastructure; ·         Reviewing and approving the final QA/QC before submission. Qualifications ·         Bachelor's degree in a relevant field (e.g., engineering, environmental science, urban planning); ·         Minimum of 5 years of experience in designing HFC networks; ·         Minimum of 2 years leading a team of designers/EIT’s ·         Proven knowledge of HFC network architecture, components, best practices, design systems, industry standards, and regulations; ·         Proven knowledge of AutoDesign, IQGeo, Comsof, ARMIS, ArcGIS, QGIS, AutoCAD, and other engineering-related software; ·         Experience with Shaw/Rogers infrastructure including planning and design within BC   Phasor Engineering Inc. offers a competitive compensation and benefits package and excellent opportunities for growth and advancement. We are an Equal Opportunity Employer committed to a diverse workforce. Benefits Dental care Disability insurance Employee assistance program Extended health care Life insurance On-site gym On-site parking Paid time off RRSP match Vision care Wellness program

About Maneva  Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.  Requirements Role & Responsibilities On-Premise Infrastructure Architecture: Design and implement robust software infrastructure for deploying vision-based AI applications directly on manufacturing floor devices and edge computing platforms. Production Software Development: Build and maintain production-grade software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions. Reliable Operations Management: Implement comprehensive monitoring, logging, alerting, and error recovery systems to ensure high availability and reliability of deployed AI systems in industrial manufacturing environments. Vision System Integration: Develop software interfaces for AI vision systems addressing manufacturing quality control, productivity optimization, safety monitoring, and equipment uptime challenges. Data Platform Development: Contribute to building AI-powered platforms that provide data analysis for connected facility operations, including data collection, processing, and analytics pipelines. IoT & Fleet Management: Build and support device management systems for on-premise AI deployments, including remote monitoring, configuration management, and fleet-wide software orchestration across manufacturing sites. OTA Deployment Systems: Design and implement over-the-air software update mechanisms for distributed on-premise devices, ensuring safe and reliable remote updates with minimal production disruption. Industrial Integration: Collaborate with hardware teams to integrate AI applications with PLCs, existing industrial automation infrastructure, and manufacturing execution systems. Performance Optimization: Profile and optimize software performance for resource-constrained edge environments and real-time processing requirements in manufacturing settings. Must-Have Strong proficiency in Python for production software development and system architecture Proven experience architecting and building successful infrastructure solutions that ensure uptime and reliability of real-time on-premise applications 3–5 years of experience in building production-grade software systems, preferably for industrial or manufacturing environments Cloud computing experience with major platforms (AWS, Azure, GCP) for hybrid edge-cloud deployments and infrastructure management Hands-on experience with Linux systems, command line operations, and system administration for edge computing platforms Experience with containerization technologies (Docker) and deployment of applications in production environments Understanding of computer vision workflows and AI inference pipelines for manufacturing applications Knowledge of application reliability principles: monitoring, alerting, graceful degradation, error recovery, and system health management Understanding of manufacturing environments and challenges related to quality control, productivity, safety, and equipment uptime Strong debugging and problem-solving skills in production environments with minimal downtime tolerance Strongly Preferred Full-stack web development experience with TypeScript and React for building operator interfaces and dashboards Experience with IoT protocols and device management for industrial environments (MQTT, HTTP/REST APIs, industrial networking) Experience with over-the-air (OTA) software deployment and update mechanisms for on-premise industrial devices Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment in manufacturing Knowledge of industrial automation protocols (Modbus, Ethernet/IP, OPC-UA) and PLC integration Nice To Have Experience with time-series databases and analytics platforms for manufacturing data (InfluxDB, Grafana, Prometheus) Background in computer vision libraries (OpenCV) and machine learning frameworks (TensorFlow, PyTorch) deployment Familiarity with manufacturing execution systems (MES) and quality management systems Experience with device management platforms for industrial IoT deployments Understanding of cybersecurity best practices for on-premise industrial systems Knowledge of data pipeline architectures for connected facility analytics Experience in food & beverage, CPG, automotive, or packaging manufacturing environments Preferred Candidate Profile On-Premise Deployment Experience: Candidates who have deployed and maintained software systems directly in industrial/manufacturing environments, addressing network constraints, security requirements, and uptime expectations Production Reliability Background: Experience in production systems where downtime has direct business impact (manufacturing, industrial automation, critical infrastructure) Vision/AI Application Deployment: Experience deploying computer vision or AI applications in real-world production environments, with an understanding of model performance, data quality, and system integration challenges Manufacturing Domain Knowledge: Understanding of manufacturing processes, quality control requirements, and operational constraints in production environments Infrastructure Mindset: Candidates who prioritize system architecture, scalability, monitoring, and long-term maintenance—not just feature development Edge Computing Experience: Familiarity with resource-constrained environments, edge device management, and distributed system challenges in industrial settings Benefits Why Join Maneva?  Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.  Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.  Travel opportunities to industrial sites, tech conferences, and research labs.  Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.  Important Notice: Protecting Your Personal Information  We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.  If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai. 

About Maneva Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more. What You'll Do As a Mechatronics Engineer at Maneva, you'll be the full-stack technical leader driving the complete integration of AI-powered systems into manufacturing environments. You will design, install, and integrate machine vision systems from the ground up — enabling manufacturers to identify defects (like imperfect chocolate bars) and optimize operations using Maneva's technology. Beyond hardware integration, you'll own, execute, and maintain the entire production software implementation, serving as the bridge between cutting-edge AI algorithms and real-world manufacturing applications. This role demands expertise across mechanical, electrical, and software domains. You'll travel to manufacturing sites, embed yourself into operations, and own full-cycle deployments that span hardware design, software development, system integration, and ongoing maintenance. From vision setup and PLC integration to deploying AI models and maintaining production software stacks, you will make our AI come alive on the line. Travel: Up to 50% (35%+ in territory, 15%+ out-of-territory), including travel to the U.S Key Responsibilities Take project ownership and architect end-to-end customer projects from design proposal through implementation and ongoing software maintenance, ensuring seamless integration of hardware and software systems Design and orchestrate AI vision system implementations by analyzing application requirements and generating hardware BOM for camera, lens, lighting, and compute component sourcing Develop, deploy, and maintain production software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions Design and integrate AI vision systems with PLCs and existing industrial automation infrastructure, implementing robust software interfaces for real-time communication and control Communicate regularly with customers and internal stakeholders throughout the entire project lifecycle, providing technical leadership on both hardware and software aspects Deploy and maintain containerized applications using Docker, manage software updates, and ensure system reliability in production environments Navigate onsite networking, configure edge computing infrastructure, and implement secure, scalable software architectures Design signal integration and wiring for communication with sensors, I/O, and control systems while developing corresponding software drivers and interfaces Implement and maintain AI model deployment pipelines, including data preprocessing, real-time inference, and post-processing workflows using computer vision and machine learning frameworks Support plant walk-throughs and site assessments to identify high-impact AI use cases in the pre-sales process, providing technical expertise on both feasibility and implementation approaches Provide onsite support for data collection efforts in live production environments and develop software tools for training data management and model iteration Troubleshoot complex hardware-software integration issues and rapidly iterate on deployments based on real-world operational results Deliver comprehensive training to plant operators and managers on both system operation and software interfaces Document deployment configurations, software architectures, system performance metrics, and maintain technical documentation for internal use and customer value stories Requirements What We're Looking For Must-Haves Degree in Mechatronics, Electrical Engineering, Computer Engineering, Robotics, or related field – or equivalent technical industry experience combining hardware and software expertise Prior industry experience in industrial automation, machine vision, robotics, automotive, or related manufacturing technology fields Proven ability to handle complex projects as both project owner and technical lead, with direct customer engagement for technical coordination and feedback Strong programming skills in Python with experience in production software development and deployment Hands-on experience with Linux systems, command line operations, and system administration Experience with Docker containerization and deployment of applications in production environments Proficiency with computer vision libraries including OpenCV and image processing techniques Familiarity with machine learning frameworks such as TensorFlow and/or PyTorch for model deployment and inference Experience with NumPy and scientific computing libraries for data processing and analysis Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment Experience with electrical wiring design, mechanical system integration, and understanding of manufacturing environments Proven ability to work independently in field environments and manage complex technical deployments Excellent communication skills for technical coordination with both technical and non-technical stakeholders Nice-to-Haves Experience with additional AI/ML frameworks and libraries (ONNX, TensorRT, OpenVINO, scikit-learn, Pandas) Proficiency in additional programming languages (C++, C#, JavaScript/Node.js for web interfaces) Experience with cloud platforms and services (AWS, Azure, GCP) for hybrid edge-cloud deployments Familiarity with embedded systems programming and real-time operating systems Experience with version control systems (Git), CI/CD pipelines, and DevOps practices Knowledge of industrial camera and image transport protocols (GenICam, GigE Vision, USB3 Vision) Experience with PLC integration protocols (Ethernet/IP, Modbus, Profinet, OPC-UA) and industrial control systems Database management experience (SQL, InfluxDB, MongoDB) for data storage and analytics Experience with message queuing systems (MQTT, RabbitMQ, Apache Kafka) for industrial IoT Familiarity with web frameworks (Flask, FastAPI, React) for building operator interfaces and dashboards Experience with monitoring and logging tools (Grafana, Prometheus, ELK stack) for production system management Knowledge of cybersecurity best practices for industrial systems Experience with fleet management and remote device management solutions Background in computer vision algorithms, deep learning model optimization, and edge AI acceleration Prior experience in food & beverage, CPG, automotive, or packaging manufacturing environments Experience in startup environments or cross-functional hardware/software product teams Understanding of lean manufacturing principles and continuous improvement methodologies Benefits Why Join Maneva?  Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.  Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.  Travel opportunities to industrial sites, tech conferences, and research labs.  Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.  Important Notice: Protecting Your Personal Information  We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.  If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai. 

Role Reporting to a Senior Engineer, the role of Electrical Engineer is to design a variety of parts, equipment and systems that use electrical power to operate. The Electrical Engineer is responsible with design from conception to completion of projects, and ensures all specifics meet the standards of the industry and the clients.   Qualifications Creating detailed engineering scope documents from a high level functional document. Design of electrical substation facilities including site and buswork layouts, grounding, foundations, controls, protection, metering and equipment drawings for internal projects. Apply knowledge of components, arrangements, and standards to complete design packages for substations that include, but are not limited to, schematics, wiring diagrams, and bills of materials. Deliver accurate and thorough designs that meet applicable industry standards, Utility design standards and engineering practices. Ensure designs are compatible with good construction practices and overall due diligence. Identification of material required, and in some cases specify devices and equipment to be used in the design and construction. Plan layout of electrical facilities for Transmission and Distribution, Power generation and Renewables sector Good Knowledge of relevant legislations, standards, regulations, guides and good practise (CSA, ANSI, IEC and IEEE standards.) Familiarity in design of electrical facilities for Transmission and Distribution, Power generation, Industrial and Renewables sector   Requirements Qualifications Degree in Electrical Engineering or related Engineering degree required; or Diploma in Electrical Engineering Technology from an accredited post-secondary institution 2 – 8 years of experience in the Utilities industry is preferred but not required Experience in construction and field installations an asset Proficient in medium/high voltage power engineering in electrical facilities for the Transmission and Distribution, Power generation, Industrial and Renewables sectors Proficient ability to read and interpret electrical drawings and schematics Possess strong organizational skills with the ability to handle multiple tasks simultaneously Strong analytical and troubleshooting skills Eligible for registration with APEGGA or ASET Dedicated team player with strong interpersonal and communication skills. Demonstrated problem solving and analytical skills with the ability to work within strict deadlines Navigate computer-assisted engineering and design software and equipment to perform engineering tasks Benefits Benefits Extended Healthcare Plan (Medical, Disability, Dental & Vision) Paid Time Off Benefits Weekly Pay Periods Employee Assistance Program – Counseling DPSP matching program that offers increased matching contributions based on your years of service with the company.

Role Reporting to a Senior Engineer, the role of an Automation and SCADA Engineer is  designing and implementing of automation systems in electrical facilities for the Transmission and Distribution, Power generation, Industrial and Renewables sectors. An automation and SCADA Engineer will apply their knowledge and experience to analyze, evaluate, and create new designs, drawings and revise existing designs, drawings and programs with guidance from senior engineering personnel, as needed. Qualifications Preference will be given to candidates that possess previous engineering experience in electrical facilities for the Transmission and Distribution, Power generation, Industrial and Renewables sectors Preference will be given to candidates who have experience in construction and field installations Knowledge of industry standard protocols such as IEC (61850, 60870-5), non-IEC (DNP3, Modbus), and related cyber security (IEC 62351, NERC CIP). Working knowledge of modern control systems (SCADA, RTUs, PLCs) GE, Siemens, ABB, EATON, SEL, Allen Bradley, Survalent, Honeywell, AES Ability to balance Office Design and Configuration with Field Engineering Implementation Ability to assess and troubleshoot in the field configuration and communication challenges. Apply knowledge of components, arrangements, and standards to complete design packages for substations that include, but are not limited to, schematics, wiring diagrams, and bills of materials. Competent in basic computer skills to include Microstation, Autocad, Trane Software and Microsoft Office products Good Knowledge of relevant legislations, standards, regulations, guides and good practise (CSA, ANSI, IEC and IEEE standards.) Familiarity in design of electrical facilities for Transmission and Distribution, Power generation, Industrial and Renewables sector. Requirements Qualifications Degree in Electrical Engineering or related Engineering degree required; or Diploma in Electrical Engineering Technology from an accredited post-secondary institution 2 – 8 years of experience in the Utilities industry is preferred but not required Experience in construction and field installations an asset Proficient in medium/high voltage power engineering in electrical facilities for the Transmission and Distribution, Power generation, Industrial and Renewables sectors Proficient ability to read and interpret electrical drawings and schematics Possess strong organizational skills with the ability to handle multiple tasks simultaneously Strong analytical and troubleshooting skills Eligible for registration with APEGGA or ASET Dedicated team player with strong interpersonal and communication skills. Demonstrated problem solving and analytical skills with the ability to work within strict deadlines Navigate computer-assisted engineering and design software and equipment to perform engineering tasks Benefits Extended Healthcare Plan (Medical, Disability, Dental & Vision) Paid Time Off Benefits Weekly Pay Periods Employee Assistance Program – Counseling DPSP matching program that offers increased matching contributions based on your years of service with the company.

Role Reporting to a Senior Engineer, the role of Settings and Studies Substation Engineer is designing of protection and control schemes in electrical facilities for the Transmission and Distribution, Power generation, Industrial and Renewables sectors. Settings and Studies Engineer will apply their knowledge and experience to analyze, evaluate, and create new designs and drawings and revise existing designs and drawings with guidance from senior engineering personnel, as needed. Qualifications Apply knowledge of components, arrangements, and standards to complete design packages for substations that include, but are not limited to, schematics, wiring diagrams, and bills of materials. Working knowledge of MathCAD, Microsoft Office, Aspen Oneliner and CAPE. Excellent knowledge of modern digital protective relays in utility applications and experience calculating relay settings. Technical knowledge and understanding of electric transmission system operation, maintenance, performance, power equipment and substation design. Familiarity with Critical Infrastructure Protection (CIP) rules will be an asset. Excellent organizational skills and ability to manage a wide variety of issues on multiple projects simultaneously. Provide technical support during construction and commissioning. Competent in basic computer skills to include Microstation, Autocad, Trane Software and Microsoft Office products Good Knowledge of relevant legislations, standards, regulations, guides and good practise (CSA, ANSI, IEC and IEEE standards.) Familiarity with local area networks, communication schemes, platforms and protocols used to provide local and remote interrogation with substation relays, meters, fault recorders and other intelligent electronic devices (IEDs). Knowledge of IEC61850 Familiarity in design of electrical facilities for Transmission and Distribution, Power generation, Industrial and Renewables sector Requirements Qualifications Degree in Electrical Engineering or related Engineering degree required; or Diploma in Electrical Engineering Technology from an accredited post-secondary institution 2 – 8 years of experience in the Utilities industry is preferred but not required Experience in construction and field installations an asset Proficient in medium/high voltage power engineering in electrical facilities for the Transmission and Distribution, Power generation, Industrial and Renewables sectors Proficient ability to read and interpret electrical drawings and schematics Possess strong organizational skills with the ability to handle multiple tasks simultaneously Strong analytical and troubleshooting skills Eligible for registration with APEGGA or ASET Dedicated team player with strong interpersonal and communication skills. Demonstrated problem solving and analytical skills with the ability to work within strict deadlines Navigate computer-assisted engineering and design software and equipment to perform engineering tasks Benefits Extended Healthcare Plan (Medical, Disability, Dental & Vision) Paid Time Off Benefits Weekly Pay Periods Employee Assistance Program – Counseling DPSP matching program that offers increased matching contributions based on your years of service with the company.