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5,521

Python jobs in Canada

Senior Site Reliability Engineer, Kong Konnect

Kong

Toronto
Hybrid
CAD 80,000 - 120,000
30+ days ago
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Engineering Manager, Security Engineering

Float

Toronto
Hybrid
CAD 120,000 - 160,000
30+ days ago

Sr. Data Scientist

Borrowell

Toronto
Hybrid
CAD 90,000 - 120,000
30+ days ago

Senior Data Scientist - Personalization & Revenue Impact

Borrowell

Toronto
Hybrid
CAD 90,000 - 120,000
30+ days ago

Geospatial Data Integration Engineer for Ingestion

Biggeo

Calgary
On-site
CAD 80,000 - 100,000
30+ days ago
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Data Integration Engineer

Biggeo

Calgary
On-site
CAD 80,000 - 100,000
30+ days ago

Data & Model Governance Lead - Remote (Canada)

MQ Referrals Only

Vancouver
Remote
CAD 141,000 - 177,000
30+ days ago

Engineering Manager, Client Portal

EvenUp

Toronto
Hybrid
CAD 148,000 - 224,000
30+ days ago
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Senior Software Engineer — Cloud-Native SaaS (Remote)

ECI Software Solutions

Canada
Remote
CAD 100,000 - 120,000
30+ days ago

Senior Software Engineer

ECI Software Solutions

Canada
Remote
CAD 100,000 - 120,000
30+ days ago

System Engineer I

OpenTable

Toronto
On-site
CAD 95,000 - 106,000
30+ days ago

Lead Research Engineer, AI Solutions

Thomson Reuters

Toronto
Hybrid
CAD 140,000 - 175,000
30+ days ago

Lead/Staff Software Engineer, AI

Thomson Reuters

Toronto
Hybrid
CAD 120,000 - 160,000
30+ days ago

Senior AI Engineer - Document Intelligence & Automation

Thomson Reuters

Toronto
Hybrid
CAD 120,000 - 160,000
30+ days ago

Senior Software Engineer - Infrastructure as Code Team

Marqeta

Toronto
Remote
CAD 100,000 - 130,000
30+ days ago

FP&A Data Analyst

Dillon Consulting Limited

London
Hybrid
CAD 70,000 - 90,000
30+ days ago

Director of Solution Delivery

Scotiabank

Toronto
On-site
CAD 120,000 - 150,000
30+ days ago

Software Engineer

ECI Software Solutions

Canada
Remote
CAD 80,000 - 100,000
30+ days ago

Site Reliability Engineer - Storage Engineer

GoDaddy

Canada
On-site
CAD 80,000 - 100,000
30+ days ago

Remote Ceph SRE & Storage Engineer

GoDaddy

Canada
Remote
CAD 80,000 - 100,000
30+ days ago

Senior Backend Engineer - Real-Time Healthcare Platform

Flagler Health

Vancouver
Hybrid
CAD 90,000 - 120,000
30+ days ago

Remote C++ Software Engineer - Trading Exchange Backend

P2P

Canada
Remote
CAD 80,000 - 100,000
30+ days ago

Senior Software Engineer Backend (Vancouver)

Flagler Health

Vancouver
Hybrid
CAD 90,000 - 120,000
30+ days ago

ASIC Design Engineer, Low Power Audio AI Subsystems

Qualcomm

Markham
On-site
CAD 70,000 - 90,000
30+ days ago

Senior InSAR & Geospatial Data Scientist

KorrAI

Canada
Remote
CAD 95,000 - 125,000
30+ days ago

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Senior Site Reliability Engineer, Kong Konnect
Kong
Toronto
Hybrid
CAD 80,000 - 120,000
Full time
30+ days ago

Job summary

A leading developer of cloud API technologies is seeking a Site Reliability Engineer to join their global Platform SRE team in Toronto, Ontario. The role involves managing and scaling a multi-region SaaS platform across cloud environments. Candidates should have a robust background in Kubernetes and cloud infrastructure, as well as experience with CI/CD and automation tools. Join a team dedicated to enhancing API connectivity and developer productivity in a fast-paced, innovative environment.

Qualifications

  • Proven experience managing SaaS or PaaS systems at enterprise scale.
  • Deep expertise in Kubernetes including debugging issues.
  • Experience with CI/CD pipelines and GitOps workflows.

Responsibilities

  • Operate and scale Kong’s global SaaS platform, ensuring reliability.
  • Build and maintain Kubernetes-based infrastructure using Terraform.
  • Collaborate with development teams to ensure compliance with standards.

Skills

Kubernetes
Terraform
CI/CD pipelines
Python
Linux/Unix systems
API gateway

Education

BS in Computer Science

Tools

Datadog
ArgoCD
Kong Gateway
Redis
ClickHouse
Druid
Job description

Are you ready to power the World's connections?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

About the Role

As a Site Reliability Engineer, you’ll join the global Platform SRE team responsible for building, operating, and scaling Kong’s multi-region SaaS platform that powers the world’s API connectivity.

You’ll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You’ll work on everything from multi-region Kubernetes clusters to service mesh and gateway architectures, ensuring the reliability, scalability, and security of Kong’s SaaS offerings.

This is a hands‑on role ideal for engineers who thrive on running production SaaS systems at scale, automating operations, and continuously improving performance, resilience, and deployment pipelines.

What You’ll Do
  • Operate and scale Kong’s global SaaS platform (Konnect), ensuring reliability, availability, and performance across regions and clouds.

  • Build, automate, and maintain Kubernetes‑based infrastructure and deployment workflows using Terraform/Terragrunt, Helm, and ArgoCD.

  • Design, maintain, and optimize multi‑region data and caching layers — including PostgreSQL, Redis, ClickHouse, and Druid — for high availability and low latency.

  • Operate and improve Kong Gateway and Kong Mesh environments supporting hybrid and distributed architectures.

  • Develop and maintain CI/CD pipelines and GitOps workflows to automate service delivery and ensure consistent infrastructure changes.

  • Enhance observability and incident response readiness through systems like Datadog, Prometheus, Grafana, and Thanos, defining and tracking SLOs.

  • Collaborate closely with development and security teams to ensure smooth operation of SaaS services in compliance with reliability, security, and regulatory standards.

  • Participate in a global 24/7 on‑call rotation and drive continuous improvement of operational playbooks and postmortem practices.

  • Lead and contribute to scaling initiatives that improve elasticity, reliability, and cost‑efficiency across the SaaS platform.

What You’ll Bring
  • BS in Computer Science or equivalent practical experience.

  • Proven experience managing SaaS or PaaS systems at enterprise scale (multi‑region, multi‑tenant, secure environments).

  • Deep expertise in Kubernetes, including debugging cluster/networking issues and designing for fault tolerance and scalability.

  • Strong proficiency with Infrastructure as Code tools like Terraform or Terragrunt.

  • Experience with CI/CD pipelines and GitOps workflows (ArgoCD, Atlantis, Helm).

  • Proficiency in one or more programming languages (Go, Python, Bash) for automation and tooling.

  • Solid understanding of Linux/Unix systems, networking (DNS, TLS/SSL, HTTP), load balancers and distributed systems.

  • Experiencing working with API gateway and service mesh technologies.

  • Familiarity with streaming systems like Kafka and observability platforms (Datadog, Prometheus, Grafana).

  • Experience working in a 24/7/365 production support environment.

Bonus Points
  • Hands‑on experience with Kong Gateway, Kong Mesh, or similar service connectivity technologies.

  • Experience operating ClickHouse, Druid, or other time-series and analytics databases.

  • Experience managing PostgreSQL and Redis in multi‑region configurations.

  • Working knowledge of AWS networking (PrivateLink, Transit Gateway, VPC Peering, Firewalls), Azure VNet, or GCP NCC.

  • Strong understanding of disaster recovery, resiliency testing, and compliance‑driven reliability practices.

#LI-SV1

About Kong

Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become “API‑first” and securely accelerate AI adoption. Kong helps organizations globally — from startups to Fortune 500 enterprises — unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit www.konghq.com or follow us on X @thekonginc.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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