Cloud Field Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Field Engineer based in Canada. This role offers the opportunity to help global organizations adopt modern private and public cloud infrastructure, Linux, cloud-native platforms, and open source technologies. You will combine cloud architecture, hands-on engineering, software development, and customer consulting to solve complex technical challenges. The role spans the Linux stack, from networking and storage to applications, while working with platforms such as Kubernetes, OpenStack, and Ceph. You will design, deploy, test, and transition cloud solutions while contributing Python-based automation and open source infrastructure code. Strong customer engagement is central to the position, including architecture discussions, technical presentations, training, and solution guidance. You will also contribute to engineering culture by sharing expertise, coaching colleagues, and collaborating across globally distributed teams. This is an ideal opportunity for a technically curious engineer who enjoys solving real-world problems and working directly with customers and emerging technologies. Accountabilities Design and deliver private and public cloud infrastructure solutions using technologies such as Kubernetes, OpenStack, Ceph, Hadoop, and Spark across on-premises and public cloud environments.Work across the Linux technology stack, including kernel, networking, storage, infrastructure, and applications.Develop open source solutions and infrastructure automation using Python.Act as a cloud solutions architect and technical consultant, translating customer workload requirements into practical and scalable architectures.Deploy, test, validate, and hand over cloud solutions to support or managed services teams at the completion of projects.Engage directly with customers through technical discussions, architecture sessions, presentations, training, and solution workshops.Coach and support colleagues by sharing technical expertise and contributing to a collaborative engineering culture.Stay current with emerging cloud-native, Linux, open source, and infrastructure technologies and apply relevant innovations to customer solutions.Maintain strong organization, follow-up, and ownership across projects and commitments.Travel internationally for customer engagements, internal collaboration, and industry events, with travel expected up to 25% of the time. Requirements University degree in Computer Science or a related discipline, or equivalent software engineering expertise.Solid understanding of cloud computing concepts and technologies, including Kubernetes, OpenStack, AWS, Google Cloud, Azure, and Ceph.Practical experience with Linux systems and networking.Intermediate to advanced Python programming skills, with the ability to develop automation and open source solutions.Understanding of cloud infrastructure, containers, virtualization, networking, and modern infrastructure technologies.Strong customer-facing skills with the ability to explain complex technical concepts clearly through presentations, discussions, and training.Dynamic and adaptable approach, with enthusiasm for joining new projects and collaborating with different teams and customers.Demonstrated commitment to continuous learning and developing expertise in new technologies.Excellent English communication and presentation skills.Strong organizational skills, reliability, and the ability to follow through on commitments.Ability to collaborate effectively in a globally distributed and multicultural environment.A second language is an advantage.Willingness and ability to travel internationally for internal and external events and customer-related project work. Benefits Compensation aligned with geographical location, experience, and performance, with annual reviews and more frequent reviews where appropriate.Performance-driven quarterly bonus in addition to base compensation.Distributed work environment with twice-yearly in-person team sprints.USD 2,000 annual personal learning and development budget.Recognition and performance rewards.40 days of annual leave per year, including public holidays and company-wide holiday periods.Maternity and paternity leave.Employee Assistance Programme.Opportunities to travel internationally and meet colleagues across global teams.Priority Pass and travel upgrades for eligible long-haul company events.Hands-on exposure to Linux, cloud infrastructure, Kubernetes, OpenStack, networking, open source applications, and emerging technologies.Direct experience solving technical challenges for customers across a variety of industries.Opportunities to develop expertise in cloud architecture, software engineering, infrastructure automation, and customer consulting. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.