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ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
Added 2 mins ago
PV
Small Animal Veterinarian
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- Full-time
Added 47 mins ago
CS
Provincial Manager, Atlantics
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NS · Nova Scotia, Canada
- Full-time
Added 1 hour ago
W
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AB · Edmonton, AB
- Full-time
Added 1 hour ago
HT
VP, Accounting & Controllership (Husky)
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- Full-time
Added 1 hour ago
S
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Added 1 hour ago
Front End - Supervisor Front End
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Saanichton, BC
Added 1 hour ago
Front End - Cashier
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Added 2 hours ago
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Technical Support Representative (On-site)
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- Full-time
Added 2 hours ago
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Senior Analytics Engineer
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Added 2 hours ago
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- Part-time
Added 2 hours ago
IE
Manager, Supply Chain & Innovation
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- Full-time
Added 2 hours ago
M
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Added 2 hours ago
LC
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Added 2 hours ago
LC
Senior Director, Pharmacy Experience and Transformation
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Added 2 hours ago
M
Software Engineer II
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Remote, Canada
- Full-time
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Added 2 hours ago
SC
Deli - Clerk Meat
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Grande Prairie, AB
- Full-time
Added 2 hours ago
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Communications Intern
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Montreal, QC
- Internship
Added 2 hours ago
UO
Social Media and News Coordinator
University of Victoria
Victoria, BC
- Full-time
Added 2 hours ago
NC
Registered Practical Nurse / Personnel infirmier auxiliaire autorise
National Commission on Correctional Health Care
Sudbury, ON · Greater Sudbury, ON
- Full-time
Added 2 hours ago
S
Grocery - Supervisor Grocery TF - Tuscany Village
Sobeys
Victoria, BC
- Full-time
Added 2 hours ago
LD
Product Designer
Loblaw Digital
Toronto, ON
- Full-time
Added 2 hours ago
GC
Data Engineer
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Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
Added 3 hours ago
IB
2026 Seasonal Customer Experience Representative
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Welland, ON
- $17.95 CAD / hour
- Part-time

Requesty

Founding DevOps/SRE Engineer

London, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 14, 2026
Experience: You have 5+ years of experience deploying services using Kubernetes:
Posting language: English
Posted: Jul 10, 2026

Original job description

What we are building

We are building the LLM platform that will power tomorrow's AI-first companies.

A single platform that allows any LLM user to integrate, scale, secure and optimize their LLM inference across 200+ providers in a few clicks.

A highly scalable, reliable and secure infra that exposes simple, OpenAI-compatible APIs, that every product or tool can use. The API allows you to access any of the LLM providers, taking care of API compatibility while adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the box.

Why join us

You understand that the best development teams need the best tooling and processes.

You understand how hard it is to manage Kubernetes clusters and self-hosted deployments in different environments.

You understand that how to build security practices into systems in a way that protects the users but doesn't slow them down.

And you are excited to tackle these massive challenges and build an infra product that will be the backbone for the best AI products, and power the next AI coding assistants, agent orchestration systems or any other AI-based solution.

Work directly with the founders to influence the company's direction and make a tangible impact. If you're looking to build your own startup someday or want to thrive in the dynamic environment of a fast-growing company, this is the ideal place to accelerate your impact and growth.

A generous TC package with significant equity.

Our stack

We Running a Pragmatic Micro-service Architecture

Kubernetes
Core LLM gateway in Go
Auxiliary and ML/AI services in Python
Different SQL DBs + Distributed caches

You should expect this list to evolve. And most probably, you will be the one redefining and building it.

What we are looking for

You have 5+ years of experience deploying services using Kubernetes:
You can discuss Kubernetes best practices
You know how to build scalable, high-performing and reliable infra
You love integrating tools and setting up configurations for development, CI/CD, production and more
You know how to design technical processes that are easy to use (increase velocity) and hard to get wrong (secure) at the same time
You have a great attention to detail

Apply About employer

More about this job

Responsibilities

Build and evolve the company’s infrastructure platform, including Kubernetes-based deployments and development, CI/CD, and production tooling. Establish secure, reliable, scalable processes and infrastructure that help teams move quickly while reducing operational risk.

Requirements

Candidates should have at least five years of experience deploying services with Kubernetes and be able to discuss Kubernetes best practices. They should know how to build scalable, high-performing, reliable infrastructure and create secure, easy-to-use technical processes, with strong attention to detail.

Skills

Kubernetes
DevOps
Site Reliability Engineering
Infrastructure Design
Scalable Systems
High-Performance Systems
Reliability Engineering
Security Practices
CI/CD
Go
Python
Microservices
SQL Databases
Distributed Caches
Configuration Management

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
DevOps
Site Reliability Engineering
LLM Platform
LLM Inference
Microservices
Go
Python
SQL Databases
Distributed Caches
CI/CD
Infrastructure
Scalability
Reliability
Security
Load Balancing
Telemetry
Analytics
MCP Integrations
Prompt Management
Data Loss Protection
Self-Hosted Deployments
OpenAI-Compatible APIs
Development Tooling
Production Environments

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