Cloud Engineer

DeepSense brings together researchers, industry partners, and students to drive innovation in the ocean economy using Artificial Intelligence (AI) and Machine Learning (ML). DeepSense enables applied research projects by connecting academic talent with real-world challenges in the marine sector, fostering collaboration to develop cutting‑edge solutions that boost industry efficiency and sustainability.

Job Summary

Reporting to the Executive Director, DeepSense, the Cloud Engineer is required to actively manage DeepSense cloud resources on all cloud platforms (AWS, Azure, Google), facilitate MLOps, and support the onboarding of student interns working on partner company’s AI/ML projects, ensuring a seamless and optimized cloud experience to run projects scope, and aligned with the objectives of both the students and industry partners. The cloud engineer will also supervise interns working on cloud projects to establish cloud infrastructure, which will be run independently by the intern on the partner company’s cloud platform.

Key Responsibilities

- Allocate and manage cloud resources across AWS, Azure, and GCP for AI/ML projects, ensuring security and cost optimization.

- Implement MLOps workflows on AWS SageMaker to streamline intern and project processes.

- Supervise client projects and onboarding, providing guidance and troubleshooting for interns and collaborators.

- Optimize and maintain cloud infrastructure, leveraging advanced technologies to improve performance and reliability.

- Administer DeepSense AI Project Platform, ensuring continuous improvement and supporting evolving AI/ML needs.

- Provide technical and GPU support, including ML environment setup and collaboration with cloud providers for issue resolution.

Note

The successful applicant will be eligible for hybrid work (combination of in‑person work on campus and remote work from within Nova Scotia) as agreed by all parties based on operational requirements and university guidelines.

Required Qualifications

- Bachelor’s degree in Computer Science, Software Engineering, or a related field, plus minimum of one to two years’ experience with major cloud platforms (AWS, Azure, or Google Cloud).

- Strong knowledge of networking, storage, compute services, and multi‑account management including IAM and security policies.

- Proficiency in Python, Bash, and automation using IaC tools like Terraform or CloudFormation; familiarity with CI/CD pipelines, DevOps practices, and containerisation (Docker, Kubernetes).

- Hands‑on experience with MLOps tools (AWS SageMaker, Azure ML, or Google Vertex AI) and cloud‑based AI/ML workflows.

- Excellent problem‑solving, communication, and collaboration skills, with ability to mentor and work independently.

Assets

- Experience of frontend or full‑stack development.

- Strong interest in Generative AI, Agentic AI, or AI model deployment in cloud environments.

Additional Information

Dalhousie University supports a healthy and balanced lifestyle. Our total compensation package includes a voluntary RRSP, health and dental plans, a wellness allowance, an employee and family assistance program and a tuition assistance program.

Application Consideration

Non‑probationary bargaining unit employees (PSAC Local 86001) are given priority consideration. All other applications will be considered when there is no qualified candidate from the bargaining unit. We sincerely appreciate all applications and note that only candidates selected for an interview will be contacted directly by the hiring department or People and Culture.

Diversity Statement

Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous Peoples of Turtle Island (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialised groups, persons with disabilities, women, persons identifying as members of 2SLGBTQIA+ communities, and all candidates who would contribute to the diversity of our community. In accordance with our Employment Equity Policy, preference will be given in hiring processes to candidates who self‑identify as members of one or more of the equity‑deserving groups listed above. For more information, including details related to our Employment Equity Policy and Plan and definitions of equity‑deserving groups please visit www.dal.ca/hiringfordiversity If you require any support for the purpose of accommodation, such as technical aids or alternative arrangements, please let us know of these needs and how we can be of assistance. Dalhousie University is committed to ensuring all candidates have full, fair, and equitable participation in the hiring process. Our complete Accommodation Policy can be viewed here .

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