This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Platform Engineer (Enterprise Experience) based in Canada.

This is an opportunity to join a high-impact engineering team focused on building secure, scalable, and reliable infrastructure solutions for enterprise customers. In this role, you will shape the future of self-hosted development environments by creating the deployment foundations that organizations rely on to operate with confidence. You will work across infrastructure automation, container security, Kubernetes deployments, and enterprise architecture patterns to improve reliability and usability at scale. As a founding member of the team, you will have significant influence over technical direction, engineering standards, and platform evolution. This position is ideal for an experienced platform engineer who enjoys solving complex infrastructure challenges, improving developer experiences, and building tools that enable modern software development.

Accountabilities

Design, build, and maintain enterprise-grade deployment artifacts, including hardened container images, Terraform modules, Helm charts, and reference architectures. Improve the reliability, security, and scalability of self-hosted platform deployments used by enterprise customers. Own and evolve deployment patterns and architectural guidance as platform capabilities and customer requirements change. Enhance upgrade processes to make deployments more seamless, predictable, and trustworthy for users. Contribute to technical architecture decisions and collaborate closely with engineering teams across the organization. Build and maintain infrastructure solutions following high standards for code quality, security, performance, and long-term maintainability. Develop and improve CI/CD workflows, observability practices, and operational tooling. Mentor engineers by sharing technical knowledge, improving engineering practices, and raising the overall quality of team output. Partner with teams to ensure enterprise environments are reliable, secure, and easy to operate.

Requirements

5+ years of experience in infrastructure or platform engineering, with ownership of deployment systems or infrastructure components relied upon by users or internal teams. Strong hands-on experience with Terraform, Helm, Kubernetes, and container technologies. Proven experience delivering infrastructure solutions used by enterprise customers or large-scale environments. Deep technical knowledge of Linux, cloud infrastructure, Infrastructure as Code, and distributed systems. Experience working with at least one major cloud platform such as AWS, Google Cloud, or Azure. Strong understanding of networking fundamentals, HTTP protocols, and modern software architecture. Experience designing and maintaining CI/CD pipelines and working with monitoring or observability platforms. Strong security mindset with experience balancing reliability, compliance, performance, and maintainability. Ability to make sound technical decisions and operate independently in a fast-moving environment. Experience with developer tooling, open-source projects, or enterprise reference architectures is a plus. Passion for coding and continuous technical improvement, whether through professional projects or personal initiatives.

Benefits

Opportunity to work on cutting-edge infrastructure technology supporting enterprise software development. High-impact role with significant ownership and influence over platform architecture and engineering practices. Collaborative environment with experienced engineers and cross-functional teams. Flexible remote work opportunities. Professional growth through mentorship, technical challenges, and exposure to modern cloud-native technologies. Opportunity to contribute to products shaping the future of AI-powered software development. Supportive culture focused on innovation, transparency, and continuous improvement. Inclusive workplace committed to equal opportunity and diverse perspectives.

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?

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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.