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Added 1 day ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Strong understanding of MLOps/LLMOps practices including CI/CD for ML (Azure DevOps, GitHub Actions), infrastructure-as-code (Terraform), and containerization (Docker/Kubernetes)
Added 1 day ago
EC
Manager, Software Engineering
Emburse Chrome River
Toronto, ON
- Full-time
Promotes and models modern developer workflows and AI tools to enhance team productivity
Added 1 day ago
EG
R-106556 Développeur logiciel III (généraliste – Contenu) - Software Developer III (Full Stack - Content)
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
…perfectionnement continus. Nous travaillons selon un modèle DevOps où les développeurs participent à tous les aspects du développement logiciel, de la conception aux tests, en passant par…
Added 1 day ago
SL
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Contribute to advancing technologies for Automation, Data & Analytics, DevOps, API, and Platform Integration, within Network Services’ and business partners.
Added 1 day ago
RB
Senior Security Specialist - Cloud (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
A good understanding of modern, cloud centric architectures and DevOps principles.
Added 1 day ago
E
Manager, Software Engineering
Emburse
Toronto, ON
- Full-time
Promotes and models modern developer workflows and AI tools to enhance team productivity
Added 1 day ago
E
Manager, Software Engineering
Emburse
Toronto, ON
- Full-time
Promotes and models modern developer workflows and AI tools to enhance team productivity
Added 1 day ago
I
Principal Technology Architect – AI Transformation Programs
Infosys
Toronto, ON
- Full-time
Site Reliability Engineering (SRE) or DevOps certification
Added 2 days ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Appliquer et faire évoluer les pratiques SRE/DevOps/SecOps, incluant la surveillance, l'observabilité de bout en bout et les écosystèmes IaC basés sur GitOps.
Added 3 days ago
R
Founding DevOps/SRE Engineer
Requesty
London, ON
- Full-time
Added 3 days ago
K
Senior Manager - Senior Tech Lead – AI & Technology Transformation
KPMG
Montreal, QC
- Full-time
Experience with Agile and DevOps delivery models, including sprint planning, backlog management, solution reviews, client demos, dependency management, and continuous improvement practices.
Added 4 days ago
R
Senior Security Specialist - Cloud (Global Security)
RBC
Toronto, ON
- Full-time
A good understanding of modern, cloud centric architectures and DevOps principles.
Added 4 days ago
P
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Integrate security into the software development lifecycle, collaborating with DevOps teams to incorporate automated security tools and secure coding practices (DevSecOps) into CI/CD…
Added 5 days ago
B
Senior Technology Manager, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
DevOps, CI/CD, automation, and test-driven development practices.
Added 5 days ago
B
Senior Technology Manager
BMO
Toronto, ON · FCP
- Full-time
Added 5 days ago
H
Consultant Specialist, Collateral Treasury
HSBC
Toronto, ON
- Full-time
Deliver software using Agile practices and apply DevOps principles and toolchains
Added 5 days ago
WT
QA Lead / Test Manager
Wissen Technology
Montreal, QC
- Full-time
Added 5 days ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Added 5 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON · Montreal, QC · ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Machine Learning Operations Developer, Inference, AI/ML Platform
Added 5 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Machine Learning Operations Developer, Inference, AI/ML Platform
Added 5 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Montreal, QC
- Full-time
Machine Learning Operations Developer, Inference, AI/ML Platform
Added 5 days ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Machine Learning Operations Developer, Inference, AI/ML Platform
Added 5 days ago
W
Senior Oracle Apps AI Developer
W3Global
Toronto, ON
- $62 to $78 CAD / hour
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 5 days ago
A
Cloud Architect
Akkodis
Ottawa, ON
- Contract
Support initiatives in Artificial Intelligence (AI), Machine Learning (ML), Big Data, Security and DevOps.
Added 5 days ago
ES
Core Java Dev + Etrade
Epsilon Solutions Ltd.
Toronto, ON
- Contract
We are seeking a highly skilled Senior Java Developer with AI experience to join the FIC Global Spread Products eTrading Technology team. The successful candidate will contribute to the…

Requesty

Founding DevOps/SRE Engineer

London, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
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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