7 часов назад
Software Engineer 3 (Enterprise AI)
132 000 - 198 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer 3 (Enterprise AI) (Go/Python/Kubernetes): Building horizontally scalable, containerized, fault-tolerant services and observability architectures for enterprise AI platforms with an accent on distributed systems, low-latency performance, and cloud-native infrastructure. Focus on designing high-throughput services, optimizing low-level systems, and developing reliable platform software across on-premises, cloud, and hybrid environments.
Location: Vancouver, Canada. Hybrid role requiring onsite work at least 3 days per week.
Salary: CAD 132,000–198,000 per year, with potential additional compensation including a sign-on bonus, RSUs, and discretionary awards.
Company
develops the Cloud Platform for AI, enabling organizations to build, fine-tune, and run generative AI, large language model, and agentic AI applications across on-premises data centers, edge locations, and public clouds.
What you will do
- Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.
- Improve system performance for low-latency and high-throughput use cases, including low-level stack optimization.
- Build scalable observability architectures for collecting, analyzing, and reporting platform metrics.
- Contribute to relevant open-source cloud-native projects and technology selection.
- Collaborate with product management and backend development teams across the product development lifecycle.
- Review code and design documents, provide feedback on product specifications, and contribute to technical documentation.
Requirements
- 4–7 years of experience developing maintainable, modular, resilient, and fault-tolerant software in a product development company.
- Strong programming fundamentals, data structures, algorithms, and experience with Go and Python.
- Strong experience with Docker, Kubernetes, cloud-native technologies, and CI/CD pipelines.
- Understanding of data center design, distributed computing and storage architectures, virtualization, operating system internals, networking, and performance monitoring.
- Experience with on-premises, cloud, and hybrid deployment architectures and high-performance system software.
- Bachelor’s or master’s degree in computer science or equivalent experience.
Nice to have
- Familiarity with machine learning concepts and frameworks such as TensorFlow and PyTorch.
- Experience with hardware accelerators such as GPUs.
- Experience with large codebases, open-source contributions, or multi-tenant services on virtualized infrastructure.
Culture & Benefits
- Hybrid work model combining remote flexibility with in-office collaboration; onsite attendance is expected at least 3 days per week in applicable locations.
- RRSP with dollar-for-dollar matching of up to 7% of base salary.
- Mental health coverage and paramedical benefits.
- Fully paid maternity and parental leave, plus bereavement leave.
- RSUs and an employee stock purchase plan with a 15% discount.
- Company holidays, sick days, wellness days, and vacation starting at 10 days.
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