Senior Cloud Data Infrastructure Engineer

Team: IT

Location: Canada

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Senior Cloud Data Infrastructure Engineer will design, build, and operate scalable cloud infrastructure while contributing to the evolution of a high-performance data platform. Key responsibilities include:

• Build and enhance a cloud-native database platform running on public cloud infrastructure.
• Design, develop, and maintain robust, scalable, and highly available distributed systems.
• Improve infrastructure capabilities that support database operations, scalability, and performance optimization.
• Develop and maintain Kubernetes-based infrastructure components, including internal operators for seamless cloud management.
• Enhance metrics pipelines and build systems that generate improved statistics, insights, and operational recommendations.
• Collaborate closely with database engineering teams and other infrastructure groups to support evolving platform requirements.
• Architect solutions that improve reliability, efficiency, and scalability across cloud environments.
• Troubleshoot complex production issues, participate in operational support, and contribute to continuous improvements.
• Work with modern data technologies to improve storage, ingestion, transformation, and processing workflows.

Requirements:

The ideal candidate is an experienced software engineer with a strong background in distributed systems, cloud infrastructure, and large-scale data platforms. Required qualifications and skills include:

• 5+ years of professional software development experience building and operating scalable, fault-tolerant distributed systems.
• Strong programming experience with languages such as Go, C++, Java, or similar technologies.
• Proven experience designing, developing, and maintaining production-grade cloud infrastructure.
• Expertise with public cloud platforms such as AWS, Google Cloud Platform, or Azure, including infrastructure-as-a-service solutions.
• Experience working with distributed systems and solving complex scalability challenges.
• Familiarity with data storage, ingestion, and transformation technologies such as Spark, Kafka, or equivalent tools.
• Strong understanding of cloud-native architectures, infrastructure automation, and reliability practices.
• Experience debugging production environments and participating in on-call support processes.
• Passion for solving large-scale data problems and improving platform performance.
• Excellent communication skills with the ability to collaborate effectively across engineering teams.

Benefits:

• Flexible remote work environment with opportunities to collaborate in a globally distributed organization.
• Competitive compensation package with equity opportunities.
• Employer contributions toward healthcare benefits.
• Flexible time-off policies and generous leave programs depending on location.
• Home office setup support for remote employees.
• Opportunities to participate in global team gatherings and company-wide events.
• Opportunity to work on innovative cloud infrastructure supporting real-time analytics and AI workloads.
• Collaborative culture where engineers have ownership and influence in shaping technology and processes.