8 часов назад
Infrastructure Engineer (AI)
150 000 - 300 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI): Building and operating deployment foundations for an enterprise AI platform across cloud and customer-managed environments with an accent on Kubernetes, secure single-tenant deployments, observability, networking, and scientific workloads. Focus on designing reliable infrastructure for pharma, biotech, academic, and research environments, automating provisioning and deployments, and solving data isolation and production operations challenges.
Location: Hybrid in Toronto or South San Francisco
Salary: CA$150K–CA$300K plus equity
Company
is an applied research lab building agentic intelligence and the Biomni platform to accelerate biomedical discovery.
What you will do
- Design, build, and operate infrastructure for enterprise, single-tenant, and customer-hosted deployments.
- Build cloud-native deployment systems and operate Kubernetes infrastructure for services, sandboxed agent execution, compute workloads, storage, networking, and observability.
- Support scientific and computational workloads, including HPC-adjacent workflows, bioinformatics tools, batch execution, GPU/CPU compute, and large-scale data movement.
- Partner with customer-facing teams on deployment planning, debugging, reliability reviews, and production operations.
- Define the long-term architecture for deployments in pharma, biotech, academic, and research environments.
Requirements
- 2+ years of industry experience in infrastructure engineering, DevOps, SRE, platform engineering, cloud engineering, or a similar role.
- Strong hands-on experience with Kubernetes in production.
- Experience deploying and operating systems on AWS, GCP, or Azure.
- Experience with infrastructure-as-code tools such as Terraform, Pulumi, or CDK.
- Strong understanding of networking, IAM, VPCs, load balancers, DNS, certificates, secrets management, and cloud security.
- Experience building CI/CD pipelines, deployment automation, environment provisioning, and operational tooling.
Nice to have
- Experience with enterprise SaaS, single-tenant, customer-hosted, VPC-isolated, or regulated environments.
- Experience with R&D infrastructure in pharma, biotech, academic research, or life sciences.
- Experience with HPC, bioinformatics, scientific computing, workflow engines, batch schedulers, GPU workloads, or distributed filesystems.
- Experience with secure sandboxing, enterprise identity, SSO, audit logging, compliance controls, customer networking, VPNs, private connectivity, or data residency.
- Experience supporting enterprise customers during deployment, onboarding, debugging, or production operations.
Culture & Benefits
- Equity participation in the company.
- Full medical, dental, and vision coverage, including therapy sessions and an eyewear stipend.
- 401(k) and unlimited PTO for US employees.
- Lunch and snacks in the office.
- Regular team offsites and company events.
- Fast-paced culture focused on excellence, speed, and collaboration.
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