Jobs in Canada

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Added 1 hour ago
AF
Mechanical Design Engineer (EIT/P.Eng.)
Aurora Fluid Systems
Calgary, AB
- Full-time
Added 1 hour ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Added 1 hour ago
CE
Mechanical engineer
Candu Energy Inc.
Mississauga, ON
- $124,000 to $135,000 CAD / year
- Full-time
- Hybrid
Added 2 hours ago
R
Founding DevOps/SRE Engineer
Requesty
London, ON
- Full-time
Added 2 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 2 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Added 2 hours ago
TC
Quality Engineer
Tata Consultancy Services
Canada
- Full-time
Added 2 hours ago
RM
AME (aircraft maintenance engineer), rotorcraft
Rotor Maxx Support
Parksville, BC
- From $25 CAD / hour
- Full-time
- On-site
Added 2 hours ago
RM
AME (aircraft maintenance engineer) (except avionics)
Rotor Maxx Support
Parksville, BC
- From $30 CAD / hour
- Full-time
- On-site
Added 3 hours ago
W
Technical Consultant II, Environmental Scientist
Worley
Edmonton, AB · Calgary, AB
- Full-time
Intermediate Environmental Scientist, Engineer in Training, or Technologist
Added 3 hours ago
ET
Senior Analog Design Engineer
ESS Technology, Inc.
Kelowna, BC
- Full-time
Added 3 hours ago
GD
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Computer Modeling & Simulation Staff Specialist/Engineer P55
Added 4 hours ago
AG
Construction project manager
Atlantic Glass Systems
Fredericton, NB · Moncton, NB
- $60,000 to $70,000 CAD / year
- Full-time
- On-site
Added 5 hours ago
ES
Delivery Manager / Senior Delivery Manager for Financial Services
EPAM Systems
Toronto, ON
- Full-time
Added 6 hours ago
HR
OCS Senior Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Added 6 hours ago
GI
Embedded Software Engineer
Garmin International, Inc.
Cochrane, AB
- Full-time
Added 6 hours ago
GI
Algorithm Software Engineer
Garmin International, Inc.
Cochrane, AB
- Full-time
…things happen at the boundaries between disciplines. Where data science and engineering meet, you will be pushing the boundaries of industry leading algorithms that help people beat…
Added 7 hours ago
ES
Solution Architect
EPAM Systems
Canada
- Full-time
Added 7 hours ago
MC
Senior Fiber Optic Technician
Meta Communications LLC
Field, BC
- Full-time
Work with cutting-edge technology and industry-leading practices. Our projects span the most advanced fiber optic installations, from 400G data centers to 5G network deployments.
Added 7 hours ago
TG
Field Systems Engineer (Level 1+)
Tech Guardian
Field, BC
- Full-time
Position – Field, Systems Engineer (Level 1+) Inland Empire
Added 7 hours ago
H
Senior Project Manager, Power Generation
HDR
Saskatoon, SK
- Full-time
Added 7 hours ago
E-
BMS Engineer Candidate
EXONIX - Global Industrial Company
Engineer, BC
- Full-time
We are seeking a skilled BMS Engineer to join our team and play a key role in designing, implementing, and maintaining cutting-edge building management systems for our clients.
Added 8 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Added 8 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 9 hours ago
T
Edge/Systems Engineer
TAIRC
Niagara-on-the-Lake, ON
- Volunteer

Requesty

Founding DevOps/SRE Engineer

London, ON, Canada

Full-time

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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

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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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