Civil Engineer - Infrastructure at CIMA+ | Vancouver

Later is the leading platform in influencer marketing, empowering brands to craft unforgettable campaigns with confidence. By leveraging genuine creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most visible investments.Our AI-driven platform, backed by over a decade of proprietary data—including billions of social interactions, impressions, and more than $2.4 billion in verified influencer-generated purchases—enables teams to predict campaign success before launch.By merging valuable insights with expert guidance, Later takes the guesswork out of influencer marketing, allowing brands to select the ideal creators, execute thoroughly managed campaigns, and achieve significant growth in awareness, engagement, and revenue. Trusted by major enterprise brands such as Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only look impressive but also yield tangible results. Discover more at later.com.About this Position:We are seeking a Machine Learning Infrastructure Engineer to join our expanding Data & Platform team. In this pivotal role, you will establish the framework that drives our AI and machine learning capabilities across Later's product suite. As our inaugural dedicated ML Infrastructure Engineer, you will oversee the systems that facilitate model experimentation, training, deployment, and large-scale monitoring.This position is essential for accelerating our data science endeavors and fostering future AI innovations. You will design and maintain reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to deploy impactful models confidently. If you are passionate about creating robust ML systems in a dynamic environment and are eager to set the standard for ML Ops at Later, this is your chance.

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

Join Parallel Domain, where we are revolutionizing the field of autonomy, robotics, and computer vision with our cutting-edge simulation and digital twin technology. Our Replica product is at the forefront of creating expansive, photorealistic digital twins of real-world environments, essential for testing, validating, and developing autonomous systems. If you are passionate about machine learning and eager to contribute to the future of technology, we invite you to apply!

Join Our Innovative TeamSanctuary AI, a pioneering force in developing dexterity-driven Physical AI for versatile robots, is on the lookout for a talented and enthusiastic Machine Learning Research Intern to join our dynamic ML team. You will play a crucial role in engineering and innovating advanced robotic manipulation tasks.As an intern reporting directly to the RL Lead, you will engage with diverse challenges related to perception, planning, and motion systems within humanoid general-purpose robots. This experience will provide you with invaluable insights into the design, architecture, and implementation of the simulation platforms and machine learning systems that drive our robots.We offer flexibility regarding the internship start date and duration, tailoring it to suit your academic commitments.

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

About UsAt Quandri, our mission is to revolutionize the insurance industry, transforming it into a trusted and delightful experience through the power of AI. We provide an innovative AI operating system tailored for North America’s leading insurance agencies and brokerages.What We DoQuandri is reshaping the insurance landscape for policyholders across North America by equipping key industry stakeholders—insurance agencies and brokerages—with cutting-edge AI solutions. As the backbone of the insurance sector, insurance agents face numerous challenges, including consolidation, talent shortages, and increasing operational complexity. Our goal is to empower these agencies to navigate these challenges effectively and operate more efficiently.This transformative opportunity allows us to rethink traditional processes within insurance agencies. At Quandri, we leverage our deep understanding of insurance workflows, systems, and data alongside our advanced technical capabilities and proprietary models to drive real change in the insurance experience.We are dedicated to enhancing the insurance experience for policyholders while enabling brokerages to provide superior client service, accelerate growth, and harness AI to lead the future of insurance distribution.

Join CIMA+’s Infrastructure team, where exceptional talent meets an in-depth understanding of local needs to deliver tailored infrastructure solutions for municipalities and real estate developers. Our team has successfully completed hundreds of projects across Canada, providing innovative strategies for all types of water and wastewater assets, ensuring timely and budget-friendly results. We support our clients throughout the entire project lifecycle, whether it's constructing new facilities or assessing, repairing, and enhancing existing infrastructure. Be a part of a vibrant, innovative, and collaborative environment where your contributions will make a significant impact. Together, we will transcend boundaries and exceed expectations to tackle the challenges of tomorrow and engineer a better world!CIMA+ is on the lookout for an Intermediate Electrical Engineer to bolster our expanding Infrastructure team in our Calgary, Edmonton, or Vancouver offices.The ideal candidate is a driven professional with around 7 years of experience in electrical engineering, preferably in municipal water/wastewater or industrial infrastructure projects. The successful hire will possess robust technical design skills, excellent project coordination abilities, and a proven capacity to work efficiently within multidisciplinary teams.Key ResponsibilitiesCollaborate with a multidisciplinary design team, assisting the Project Manager and Senior Engineers in executing electrical design tasks.Create electrical power distribution designs, including single-line diagrams, site power layouts, motor control schematics, standby/emergency power systems, lighting designs, and general power distribution plans.Assist in the development of Instrumentation and Controls (I&C) designs for SCADA monitoring and control systems, encompassing control panels, P&IDs, process control narratives, I/O lists, instrumentation selection, and communication network diagrams.Prepare comprehensive designs, calculations, technical specifications, and contract documents for municipal infrastructure facilities, such as water and wastewater treatment plants, pump stations, and related facilities.Contribute to design reports, technical memoranda, cost estimates, tender documents, and construction drawings.Engage in field investigations, site assessments, and condition evaluations to support design and construction efforts.Conduct shop drawing reviews and aid in Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT) for electrical and instrumentation equipment.Assist with contract administration, including responding to RFIs, evaluating change orders, and overseeing construction progress for adherence to contract specifications.Communicate effectively with clients, contractors, regulatory entities, and internal project stakeholders.

CIMA+ offices in Western Canada are experiencing significant growth, leading to exciting and complex projects where you can play a pivotal role. We are on the lookout for individuals eager to enhance their skill sets, embrace new challenges, and advance their careers within our organization.Our expanding Infrastructure team in British Columbia seeks a Structural Engineer to join our Vancouver office. The ideal candidate will engage in industrial and municipal infrastructure projects, focusing on underground structures, electrical substations, retaining walls, and utility infrastructure systems.Our projects encompass underground concrete structures (such as vaults, manholes, and chambers), duct banks, substations, utility corridors, equipment foundations, and associated industrial facilities. We collaborate within multidisciplinary teams to provide civil, structural, electrical, and geotechnical coordination, delivering comprehensive infrastructure solutions.Key ResponsibilitiesPerform structural analysis and design, preparing detailed drawings and specifications.Estimate construction costs and quantities, conducting studies and technical reports.Execute fieldwork, including investigations and inspections for the design, retrofit, remediation, and construction of structures.Communicate effectively with clients, contractors, utility authorities, and multidisciplinary teams.Monitor construction progress and ensure compliance with tender documents.Contribute to proposal preparation, define project scopes, and estimate fees.

Join INTRALOT as an AWS Cloud Infrastructure Platform Engineer – Powering Gaming Experiences!At INTRALOT, we are at the forefront of revolutionizing the gaming industry through innovative technology. Our global presence and diverse teams foster a culture that prioritizes people. We are seeking a Platform Engineer who is passionate about advancing their career. At INTRALOT Canada, we are reshaping gaming with robust, scalable, and state-of-the-art systems. This is your opportunity to make a significant impact and grow with a collaborative and innovative team.Your Role:As a Platform Engineer – AWS Infrastructure, you will oversee the daily operations, reliability, and enhancement of our existing AWS infrastructure that supports production workloads.The platform consists of Red Hat Enterprise Linux (RHEL) systems and an OpenShift container platform hosted on AWS EC2 instances, facilitating critical application workloads. Your primary focus will be on ensuring stability, security, automation, and operational excellence to maintain a robust, scalable, and user-friendly platform.This position is part of the Operations team, dedicated to managing and improving AWS-based infrastructure and container platforms that drive our gaming services.What You’ll Do: Operate & Support Existing AWS InfrastructureManage and support production AWS environments across multiple accounts.Oversee core AWS services including EC2, networking, storage, IAM, and other supporting infrastructure services.Administer EC2-based Red Hat Enterprise Linux (RHEL) instances hosting application and platform components.Conduct OS lifecycle management, patching, hardening, and configuration management for Linux systems.Facilitate patch management and configuration automation using Ansible. Operate OpenShift Platform on AWSManage the OpenShift container platform deployed on AWS EC2 instances.Maintain and troubleshoot OpenShift cluster nodes, networking, storage integration, and workloads.Assist with cluster lifecycle activities, including node maintenance, upgrades, and configuration changes.Collaborate with development teams to ensure containerized applications operate efficiently and reliably on the platform.

Join INTRALOT as a Platform Engineer – AWS Infrastructure and Power the Future of Gaming!At INTRALOT, we are at the forefront of revolutionizing the gaming industry through cutting-edge technology and innovative solutions. Our global presence, rich diversity, and dynamic teams foster a culture that prioritizes people. We invite you to become a part of our team as a Platform Engineer. Are you a driven professional eager to elevate your career? At INTRALOT Canada, we are redefining the gaming landscape with scalable, reliable, and state-of-the-art systems. Take this opportunity to make a significant impact while collaborating with a team that thrives on innovation.Your Role:As a Platform Engineer – AWS Infrastructure, you will oversee the operational integrity, reliability, and evolution of our existing AWS infrastructure platform that powers production workloads. Your main objectives will be stability, security, automation, and operational excellence, ensuring that our platform remains robust, scalable, and user-friendly.This role is integral to our operations team and focuses on enhancing and managing shared AWS services. Responsibilities include:Managing and supporting production AWS environments across multiple accounts.Maintaining essential AWS services including compute, networking, storage, IAM, and shared platform services.Implementing patch management utilizing Ansible where suitable.Responding to infrastructure alerts, incidents, and service disruptions. Reliability, Monitoring & Incident Management:Monitoring platform health, availability, and capacity using CloudWatch and centralized observability tools.Troubleshooting infrastructure issues concerning compute, networking, storage, or access control.Engaging in incident response, root-cause analysis, and post-incident improvements. Infrastructure as Code & Controlled Automation:Enhancing and managing existing Infrastructure as Code through Terraform and/or AWS CloudFormation.Utilizing Ansible for configuration management, operational automation, and standardizing system-level modifications as needed (e.g., OS configurations, agents, operational tools).Minimizing manual configurations by enforcing version control on existing resources.Applying changes through structured CI/CD pipelines and change management practices.

Become a Key Player at INTRALOT as a Platform Engineer – AWS Infrastructure - Elevating Gaming Experiences!At INTRALOT, we are at the forefront of transforming the gaming landscape through cutting-edge technology and innovative practices. With a global footprint and a rich tapestry of cultures, our team thrives under a people-first philosophy. We are in search of a Platform Engineer who is enthusiastic about advancing their career. Join us at Intralot Canada as we revolutionize the gaming sector with scalable, reliable, and state-of-the-art systems. This is your opportunity to make a significant impact while collaborating with a forward-thinking team that values innovation.Your Responsibilities:In your role as a Platform Engineer – AWS Infrastructure, you will oversee the daily operations, reliability, and enhancement of our existing AWS infrastructure platform that supports mission-critical production workloads. Your primary focus will be on ensuring stability, security, automation, and operational excellence so that the platform remains robust, scalable, and user-friendly.This position is integral to our operations team and emphasizes the management and enhancement of shared AWS services. Operating & Supporting Existing AWS InfrastructureManage and support production AWS environments across multiple accounts.Ensure the maintenance of core AWS services, including compute, networking, storage, IAM, and shared platform services.Assist with patch management utilizing Ansible where applicable.Respond promptly to infrastructure-related alerts, incidents, and service disruptions. Reliability, Monitoring & Incident ManagementMonitor platform health, availability, and capacity via CloudWatch and centralized observability tools.Troubleshoot infrastructure issues related to compute, networking, storage, or access control.Engage in incident response, root-cause analysis, and post-incident enhancements. Infrastructure as Code & Controlled AutomationMaintain and enhance existing Infrastructure as Code utilizing Terraform and/or AWS CloudFormation.Employ Ansible for configuration management, operational automation, and standardization of system-level changes as needed (e.g., OS configuration, agents, operational tooling).Minimize manual configurations by placing existing resources under version control.Implement changes through controlled CI/CD pipelines and change management processes.

Become part of INTRALOT as a Cloud Infrastructure Platform Engineer - AWS, and help us revolutionize gaming experiences!At INTRALOT, we are at the forefront of innovation in the gaming sector, leveraging technology to create engaging experiences. Our commitment to a diverse and inclusive culture empowers our teams to thrive and innovate. As a Cloud Infrastructure Platform Engineer, you will play a pivotal role in transforming the gaming industry with our state-of-the-art, scalable, and reliable systems. This is your opportunity to make a significant impact and develop your career within a vibrant team dedicated to collaboration and innovation.Your Responsibilities:In this role, you will oversee the operation, reliability, and ongoing development of our AWS infrastructure platform that supports critical production workloads.Your responsibilities will include managing Red Hat Enterprise Linux (RHEL) systems and an OpenShift container platform hosted on AWS EC2 instances. You will emphasize platform stability, security, automation, and operational excellence to ensure our systems are robust, scalable, and user-friendly.This position is integral to the Operations team, focusing on optimizing and enhancing our AWS-based infrastructure and container platforms that deliver our gaming services.Key Duties: Manage & Maintain Existing AWS InfrastructureAdminister and support production AWS environments across multiple accounts.Oversee key AWS services such as EC2, networking, storage, IAM, and essential infrastructure services.Assist with managing EC2-based Red Hat Enterprise Linux (RHEL) instances that host various application and platform components.Execute OS lifecycle management, patching, hardening, and configuration management for Linux systems.Implement patch management and configuration automation utilizing Ansible. Operate OpenShift Platform on AWSSupport the OpenShift container platform deployed on AWS EC2 instances.Maintain and troubleshoot OpenShift cluster nodes, networking, storage integration, and workloads.Assist in cluster lifecycle activities, including node maintenance, upgrades, and configuration changes.Collaborate with development teams to ensure containerized applications function efficiently and reliably on the platform.Resolve issues related to operational performance and reliability.

Klue helps businesses transform scattered competitive data into clear, actionable insights. The Vancouver team is expanding and seeking a Senior Software Engineer with a focus on AI agent development. Role overview This position centers on designing and operating large language model (LLM)-powered agents at scale. Responsibilities span multi-agent orchestration, sub-agent design, and building evaluation frameworks to ensure outputs are both reliable and measurable. The work covers the full stack, including optimizing inference costs, improving retrieval and query performance, and creating feedback loops for ongoing system improvement. In addition to technical execution, this engineer will help shape the product roadmap by offering technical guidance and collaborating closely with product leadership. The role involves guiding projects from early architecture through experimentation and into production, always with an eye on production readiness and measurable results. What you will do Develop and deploy backend systems for agentic workflows. Design retrieval pipelines, orchestration layers, and agent architectures that process large volumes of competitive data, such as news, press releases, website updates, Slack messages, emails, reviews, and CRM data, into actionable intelligence for clients. Enhance LLM-powered workflows end-to-end. Work on prompt design, retrieval strategies, caching, and latency optimization to make agent responses fast, accurate, and reliable in production. Lead evaluations of agent systems at scale. Build and manage evaluation frameworks (automated, offline, and human-in-the-loop) to assess relevance, quality, latency, and overall task success. Define excellence metrics and set up infrastructure for ongoing measurement. Design and implement human-in-the-loop systems. Collaborate with product and design teams to propose and prototype feedback mechanisms, review workflows, and correction loops that help keep AI agents accurate and trustworthy over time. Location This role is based in Vancouver, British Columbia. Learn more about Klue at klue.com.

We are seeking a highly skilled Senior Software Engineer specializing in Network Router Infrastructure. In this role, you will contribute to the design and development of robust networking solutions that enhance our clients' connectivity and performance. You will collaborate with cross-functional teams to deliver high-quality software that meets customer requirements and industry standards.

aviso is hiring a Director of Infrastructure Operations to join the team in Vancouver, British Columbia. This position leads the company’s infrastructure operations, with a focus on ensuring reliability, improving efficiency, and driving ongoing enhancements. Key responsibilities Create and implement strategic plans for infrastructure operations Allocate and manage resources to meet business goals Lead, mentor, and develop the infrastructure team Work closely with other departments to align infrastructure with company objectives Apply best practices and uphold compliance with industry standards Requirements Leadership experience in infrastructure operations within a complex setting Proven ability to deliver operational excellence and maintain reliability Skilled at guiding teams and encouraging innovation Comfortable collaborating across multiple departments to achieve common goals

Join Cerebras Systems as an R&D Engineer specializing in Advanced Technology, focusing on Artificial Intelligence (AI) and Machine Learning (ML) within High-Performance Computing (HPC). In this pivotal role, you will contribute to cutting-edge projects that drive innovation in AI and ML technologies.As part of our dynamic team, you will collaborate with top-tier engineers and researchers to develop revolutionary solutions that enhance computing capabilities. Your expertise will be instrumental in shaping the future of AI and HPC technologies.

About Dialpad Dialpad offers an AI-native business communications platform that brings together calling, messaging, meetings, and contact center features in one solution. The platform’s AI understands conversations as they happen, helping teams communicate more efficiently. More than 70,000 companies worldwide use Dialpad, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply. These organizations rely on Dialpad to build stronger customer relationships through actionable insights powered by AI. Dialpad has taken a lead in Agentic AI, developing intelligent agents that not only analyze conversations but also take actions to automate workflows, answer customer questions, and speed up revenue processes in real time. The DAART initiative (Dialpad Agentic AI in Real Time) continues to advance communication technology. Learn more at dialpad.com. Applied Scientist Role in Vancouver, Canada The Applied Scientist will join Dialpad’s AI team in Vancouver, contributing to research and development efforts that influence the direction of the platform.

Join our dynamic team at aviso as a Temporary Learning & Development Specialist. In this role, you will play a crucial part in enhancing our workforce's skills and capabilities through innovative learning initiatives. You will collaborate with various departments to identify training needs and develop engaging training programs that drive employee growth and productivity.

Revic is seeking a talented Platform Engineer to develop and enhance the infrastructure that powers our AI-driven revenue solutions. In this role, you will take charge of ensuring our AI agents operate swiftly, reliably, and at scale. If you thrive on simplifying complex systems, this opportunity is perfect for you.About RevicAt Revic, we recognize that exceptional sales professionals are crucial to business success. They cultivate relationships, comprehend client needs, and secure deals that drive growth. Yet, they often find themselves overwhelmed by administrative tasks and ineffective tools that hinder their ability to sell.We believe that salespeople deserve better technology that empowers rather than obstructs their efforts.Revic is at the forefront of AI-native sales acceleration, designed to enhance the capabilities of sales professionals. We tackle the complexities of data analysis, opportunity identification, and workflow activation, allowing sales representatives to focus on meaningful interactions and relationship building.Our platform continually learns from performance metrics, identifies ideal customers, and equips reps with critical context for confident, precise decision-making. By alleviating the friction in the sales process, we help amplify their inherent strengths.Sales is inherently human, and Revic is committed to preserving that essence by enabling AI to manage the details.Role OverviewAs Revic's AI agents handle vast amounts of data and orchestrate numerous integrations, they make instantaneous decisions that significantly affect enterprise revenue streams. To support this growth, we need a dedicated Platform Engineer to fortify our foundational infrastructure.This role requires you to create infrastructure that can accommodate numerous simultaneous AI agent operations, each drawing from a myriad of data sources while maintaining low latency, cost efficiency, and high reliability.Your ResponsibilitiesDesign, develop, and maintain cloud infrastructure and developer platforms that empower Revic's AI solutions.Oversee CI/CD pipelines, deployment automation, and environment management to ensure engineers can release code confidently.Implement observability, monitoring, and alerting systems that proactively identify issues before they reach our customers.Manage the infrastructure that enables our AI agents to function seamlessly.