Salary :
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Developer Operations Engineer based in Canada.
This is a full-time remote opportunity for an experienced DevOps engineer to shape modern infrastructure within a global, multi-cloud environment.
You’ll design highly available, containerized platforms that enable engineering teams to build and deliver software at scale.
The role combines infrastructure automation, Kubernetes, Infrastructure-as-Code, CI/CD, and cloud engineering with emerging AI capabilities.
You’ll have significant ownership over infrastructure reliability, operational efficiency, deployment velocity, and developer experience.
Working within a high-performing, multi-region team, you’ll influence technical standards and drive continuous improvement across complex systems.
The position offers an opportunity to solve challenging infrastructure problems while building production-grade solutions used by millions of users worldwide.
If you enjoy automation, technical leadership, and turning complex operational challenges into scalable systems, this role offers meaningful scope and impact.
Accountabilities:
- Design, implement, and maintain scalable cloud infrastructure using Infrastructure-as-Code principles and modern automation practices.
- Build, deploy, and manage containerized applications and highly available Kubernetes environments, with a particular focus on Google Kubernetes Engine (GKE).
- Develop, maintain, and continuously improve CI/CD pipelines using tools such as ArgoCD, GitHub Actions, and Jenkins to enable reliable and efficient deployments.
- Automate infrastructure and IT operations to reduce manual effort, improve system reliability, strengthen security, and enhance the overall developer experience.
- Explore and integrate AI-powered tools and capabilities to improve operational efficiency, security, monitoring, maintenance, and predictive capabilities.
- Establish and improve infrastructure standards, engineering practices, and technical roadmaps across a distributed, multi-region environment.
- Troubleshoot complex production issues and optimize the performance and reliability of high-traffic Linux-based services.
- Collaborate closely with engineering and technology teams to translate infrastructure needs into scalable, secure, and maintainable solutions.
- Contribute to observability practices covering logging, metrics, monitoring, and alerting to improve visibility into production systems.
- Take ownership of technical initiatives from conception through implementation while promoting continuous improvement and operational excellence.
Requirements:
- Strong professional experience in DevOps, Developer Operations, Site Reliability Engineering, or a closely related infrastructure engineering discipline.
- Deep expertise with Kubernetes and containerization technologies, ideally including Google Kubernetes Engine (GKE).
- Proven experience with Infrastructure-as-Code tools such as Terraform and Ansible.
- Strong understanding of CI/CD methodologies and hands-on experience with tools such as ArgoCD, GitHub Actions, and Jenkins.
- Solid experience working with one or more major cloud platforms, including GCP, AWS, or Azure.
- Ability to write high-quality, production-ready code in Python, Golang, or similar languages for automation and service development.
- Experience with modern observability practices, including centralized logging, metrics, monitoring, and alerting; familiarity with tools such as Elastic Stack and Prometheus/Grafana is an asset.
- Strong troubleshooting and performance-optimization skills in complex, high-volume Linux production environments.
- Experience with cloud-native services and infrastructure automation for SQL and/or NoSQL databases is an advantage.
- Experience developing or integrating AI/ML tooling is a plus.
- Strong ownership mindset with the ability to define and execute technical roadmaps and initiatives.
- Excellent communication and collaboration skills, with the ability to work effectively across distributed, multi-region teams.
- Professional proficiency in English is required for regular written and verbal communication with globally distributed colleagues and partners.
- Ability to work independently, manage competing priorities, and remain hands-on while contributing to broader technical strategy.
Benefits:
- Remote, full-time position based in Quebec, Canada.
- Annual gross base salary of approximately CAD 103,000–CAD 140,000, with the final offer determined by factors such as geographic location, relevant experience, professional background, and skills.
- Potential eligibility for equity awards and participation in company incentive programs, including discretionary annual bonuses or sales commissions, subject to applicable plans.
- Comprehensive health, life, and disability insurance.
- Competitive retirement and pension programs.
- Generous vacation and personal days.
- Family support programs, including parental leave and family-care resources.
- Mental health and well-being programs and support.
- Global employee assistance program.
- Employee resource groups and an inclusive, collaborative workplace.
- Training, learning, and professional development opportunities.
- Employee stock ownership opportunities.
- Commuting support where applicable.
- Volunteering and donation-matching programs.
- Flexible working environment designed to support work-life balance and employee well-being.
- Opportunities to work with a high-performing, globally distributed engineering organization and contribute to large-scale technology initiatives.
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!
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.
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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.
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