Top Benefits
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Cloud Development based in Canada. This role sits at the core of a modern AI platform team responsible for building and operating large-scale infrastructure that powers intelligent product experiences. You will design and maintain cloud-native services that support model training, deployment, and high-throughput inference in production environments. The work spans distributed systems, Kubernetes-based orchestration, and GPU-accelerated workloads at global scale. You will contribute to the evolution of reliable, secure, and privacy-conscious AI systems used by millions of users. The environment is highly collaborative, bringing together engineering, product, infrastructure, and security teams. This is a hands-on role for someone who thrives in complex backend systems and cares deeply about performance, scalability, and operational excellence. \n
Accountabilities: Design, build, and operate scalable platform services and APIs that support production AI and backend workloads. Own service reliability end-to-end, improving availability, latency, scalability, and cost efficiency across distributed systems. Develop and optimize Kubernetes-based infrastructure, including deployment pipelines, environment configuration, and resource management. Improve service lifecycle practices such as packaging, versioning, testing, validation, and automated deployments. Implement observability systems (metrics, logging, tracing, alerting) to strengthen operational visibility and incident response. Collaborate with cross-functional teams to deliver secure, scalable, and privacy-respecting platform capabilities. Participate in architectural discussions, operational processes, on-call rotations, and incident postmortems while mentoring peers. Requirements: Bachelor’s degree with 4–6+ years of relevant experience, or equivalent hands-on production systems experience. Strong Python development skills with experience building maintainable services, libraries, and CLIs. Proven experience running production workloads in cloud environments (GCP preferred) and managing infrastructure at scale. Deep knowledge of Kubernetes and Helm, including multi-environment deployments and progressive rollouts. Experience with infrastructure-as-code tools such as Terraform for provisioning and managing cloud resources. Strong understanding of distributed systems, API design, and production-grade service reliability. Familiarity with observability tools (e.g., Grafana) and debugging performance or reliability issues in complex systems. Excellent communication skills and experience collaborating across engineering, product, and infrastructure teams. On-call and incident response experience in production environments. Bonus: experience with GPU workloads, Ray/Ray Serve, ML infrastructure, or multi-provider LLM systems. Benefits: Competitive performance-based bonus program with shared success model. Comprehensive medical, dental, and vision coverage. Strong retirement contributions with immediate 100% vesting. Quarterly company-wide wellness days and additional paid holidays. Home office stipend and annual professional development budget. Quarterly well-being allowance for personal wellness needs. Generous parental leave policies. Employee referral bonuses and additional country-specific benefits (life insurance, disability coverage, EAP, etc.).
\n 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? 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. #LI-CL1
Similar Jobs
Top Benefits
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Cloud Development based in Canada. This role sits at the core of a modern AI platform team responsible for building and operating large-scale infrastructure that powers intelligent product experiences. You will design and maintain cloud-native services that support model training, deployment, and high-throughput inference in production environments. The work spans distributed systems, Kubernetes-based orchestration, and GPU-accelerated workloads at global scale. You will contribute to the evolution of reliable, secure, and privacy-conscious AI systems used by millions of users. The environment is highly collaborative, bringing together engineering, product, infrastructure, and security teams. This is a hands-on role for someone who thrives in complex backend systems and cares deeply about performance, scalability, and operational excellence. \n
Accountabilities: Design, build, and operate scalable platform services and APIs that support production AI and backend workloads. Own service reliability end-to-end, improving availability, latency, scalability, and cost efficiency across distributed systems. Develop and optimize Kubernetes-based infrastructure, including deployment pipelines, environment configuration, and resource management. Improve service lifecycle practices such as packaging, versioning, testing, validation, and automated deployments. Implement observability systems (metrics, logging, tracing, alerting) to strengthen operational visibility and incident response. Collaborate with cross-functional teams to deliver secure, scalable, and privacy-respecting platform capabilities. Participate in architectural discussions, operational processes, on-call rotations, and incident postmortems while mentoring peers. Requirements: Bachelor’s degree with 4–6+ years of relevant experience, or equivalent hands-on production systems experience. Strong Python development skills with experience building maintainable services, libraries, and CLIs. Proven experience running production workloads in cloud environments (GCP preferred) and managing infrastructure at scale. Deep knowledge of Kubernetes and Helm, including multi-environment deployments and progressive rollouts. Experience with infrastructure-as-code tools such as Terraform for provisioning and managing cloud resources. Strong understanding of distributed systems, API design, and production-grade service reliability. Familiarity with observability tools (e.g., Grafana) and debugging performance or reliability issues in complex systems. Excellent communication skills and experience collaborating across engineering, product, and infrastructure teams. On-call and incident response experience in production environments. Bonus: experience with GPU workloads, Ray/Ray Serve, ML infrastructure, or multi-provider LLM systems. Benefits: Competitive performance-based bonus program with shared success model. Comprehensive medical, dental, and vision coverage. Strong retirement contributions with immediate 100% vesting. Quarterly company-wide wellness days and additional paid holidays. Home office stipend and annual professional development budget. Quarterly well-being allowance for personal wellness needs. Generous parental leave policies. Employee referral bonuses and additional country-specific benefits (life insurance, disability coverage, EAP, etc.).
\n 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? 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. #LI-CL1