7 часов назад
Software Engineer 2 (AI)
103 000 - 155 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer 2 (AI) (Kubernetes/Go/Python): Building horizontally scalable, containerized, fault-tolerant services and observability architectures for Nutanix's enterprise AI platform with an accent on low-latency performance, distributed systems, and cloud-native infrastructure. Focus on optimizing system software, developing high-throughput services, and integrating AI deployment capabilities across on-premises, cloud, and hybrid environments.
Location: Vancouver, Canada; hybrid with a minimum of 3 days onsite per week
Salary: CAD $103,000–$155,000 annually
Company
develops cloud platforms and infrastructure for enterprise AI, including GPT and LLM deployment, inference, and AI gateway capabilities.
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 optimization of low-level systems.
- Build scalable observability architectures for collecting, analyzing, and reporting platform metrics.
- Contribute to cloud-native open-source projects and participate in technology selection and process definition.
- Contribute across the product lifecycle, including design, development, testing, experimentation, analysis, and launch.
- Collaborate with product management and backend development teams, review code and design documents, and provide technical feedback.
Requirements
- 2–5 years of experience developing maintainable, modular, resilient 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 datacenter design, distributed computing and storage, virtualization, operating-system internals, networking, and performance monitoring.
- Experience designing and tuning high-performance system software and working with on-premises, cloud, and hybrid deployment architectures.
- 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 or PyTorch.
- Experience with GPU and other hardware accelerators.
- Experience with large codebases, open-source contributions, or multi-tenant services on virtualized infrastructure.
Culture & Benefits
- Hybrid work combining remote flexibility with in-office collaboration; workplace policy requires at least 3 onsite days per week in applicable locations.
- RRSP with dollar-for-dollar matching up to 7% of base salary.
- Mental health coverage and paramedical benefits.
- Paid maternity and parental leave, bereavement leave, company holidays, sick days, wellness days, and vacation starting at 10 days.
- RSUs and an employee stock purchase plan with a 15% discount.
- does not assist with work permit or permanent residence applications.
Hiring process
- The application deadline is 40 days from the posting date, although the posting may be removed earlier if the position is filled.
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