Software Engineer - Enterprise Platform

Baseten

Montreal (administrative region)

On-site

CAD 233,380 - 466,761

Full time

14 days+

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Benefits offered by this job

Competitive compensation including 100
Medical, dental, vision insurance
Flexible PTO including Winter Break
Paid parental leave
Fertility and family-building stipend
401(k)
Learning opportunities

Job summary

Baseten is seeking a Senior Enterprise Platform Engineer in Montreal to architect and lead infrastructure and platform features for enterprise customers and cloud partners, including self-hosted clusters and cross-cloud workload orchestration.

You will collaborate on private connectivity, security, data residency, and compliance, while driving productization and observability improvements across the platform. This role includes mentoring teams and shaping enterprise infrastructure practices.

Qualifications

  • Bachelor's degree or higher in Computer Science or related field.
  • 5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments.
  • Past experience working with enterprise security, compliance, and privacy requirements.
  • Advanced understanding of distributed systems concepts, cloud architectures, and performance optimisation.
  • Demonstrated ability to independently manage technical projects, from planning and specification through implementation.
  • Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers.
  • Preferred experience working with AI/ML systems or familiarity with MLOps practices.

Responsibilities

  • Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.
  • Lead technical initiatives to productise secure and scalable private connectivity solutions.
  • Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.
  • Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.
  • Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.
  • Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.
  • Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.
  • Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.

Skills

Distributed systems
Cloud infrastructure
Kubernetes
Security/compliance
Project management
Communication
AI/ML familiarity

Education

Bachelor's degree in Computer Science or related field

Job description

About Baseten

Baseten powers mission‑critical inference for the world’s most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting‑edge models into production. We’re growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.


The Role

As a Senior Enterprise Platform Engineer at Baseten, you’ll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self‑hosted and single tenant clusters, region‑aware request routing, enterprise‑grade data and security integrations, and more.


Example Initiatives


  • Multi‑cloud capacity management

  • Inference on B200 GPUs

  • Multi‑node inference

  • Fractional H100 GPUs for efficient model serving


Responsibilities


  • Architect and develop infrastructure and platform features tailored for enterprise customers, including self‑hosted clusters, single‑tenant environments, and cross‑cloud workload orchestration.

  • Lead technical initiatives to productise secure and scalable private connectivity solutions.

  • Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.

  • Advance our self‑hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.

  • Collaborate on partner‑focused initiatives to deliver secure, minimal Baseten deployments within partner environments.

  • Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.

  • Independently develop technical specifications, collaborate cross‑functionally to define product requirements, and drive projects from conception through execution.

  • Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge‑sharing across engineering teams.


Requirements


  • Bachelor’s degree or higher in Computer Science or related field

  • 5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes‑based solutions in production environments

  • Past experience working with enterprise security, compliance, and privacy requirements

  • Advanced understanding of distributed systems concepts, cloud architectures, and performance optimisation

  • Demonstrated ability to independently manage technical projects, from planning and specification through implementation

  • Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers

  • Preferred experience working with AI/ML systems or familiarity with MLOps practices


Benefits


  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year’s Day!)

  • Paid parental leave

  • Fertility and family‑building stipend through Carrot

  • Company‑facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.


Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward‑thinking team, we would love to hear from you.


At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.


We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).


Compensation Range: $165K - $330K

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