Location:
Vancouver, BC (Hybrid, 3 days onsite per week)

Language:
Excellent written and verbal English communication skills are required.

Duration:
1-year contract

About the Opportunity
Are you passionate about building the cloud infrastructure that powers the next generation of AI and machine learning solutions? We are recruiting an AI-ML Platform Engineer to join a leading global technology organization, where you'll help design, build, and optimize cloud-native platforms that support enterprise-scale applications and data-driven innovation.

In this role, you'll collaborate with software developers, AI/ML engineers, cloud specialists, and product teams to deliver secure, scalable, and reliable infrastructure. If you enjoy solving complex technical challenges, working with modern cloud technologies, and continuously expanding your skills, this is an excellent opportunity to make a meaningful impact while growing your career.

What’s In It for You
Join a collaborative engineering environment that values innovation, continuous learning, and knowledge sharing.

Gain hands-on experience with enterprise-scale cloud platforms, AI/ML technologies, and modern DevOps practices while working alongside experienced technical professionals.

Enjoy exposure to cutting-edge cloud technologies, opportunities to strengthen your technical expertise, and a culture that encourages collaboration, mentorship, and professional development.

Your Responsibilities
• You'll collaborate with engineering and operations teams to design, build, and maintain CI/CD pipelines, build systems, and deployment automation.
• You'll develop secure, production-quality backend services and automation tools that support the end-to-end lifecycle of AI/ML solutions.
• You'll provide technical expertise on cloud infrastructure, cloud integration, CI/CD automation, and modern service architecture.
• You'll translate technical and business requirements into scalable solution designs and implementation plans.
• You'll participate in design reviews, create technical documentation, provide peer feedback, and share knowledge through demos and presentations.
• You'll contribute to building reliable, scalable cloud platforms that enable enterprise AI and data-driven solutions.

Skills and Qualifications
• 1 to 2 years of hands-on experience in Site Reliability Engineering (SRE), DevOps, systems engineering, cloud operations, or infrastructure automation within enterprise environments.
• Experience working with cloud platforms such as SAP BTP, AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Strong knowledge of Kubernetes, Docker, Cloud Foundry, cloud databases, and data or event-driven pipelines.
• Experience building and supporting CI/CD pipelines using tools such as Jenkins, GitHub Actions, Argo CD, or Flux CD.
• Working knowledge of networking fundamentals, including load balancing technologies such as NGINX or HAProxy.
• Proficiency developing production-grade applications using Python, Java, or a similar programming language.
• Bachelor's degree in Computer Science, Engineering, or an equivalent combination of education and experience. Experience with distributed systems, MLOps, or Generative AI technologies is considered an asset.

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.