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Lead UX Developer (React)
Open Text Corporation
Waterloo, ON
- Other
As an experienced Software Developer, your extensive skills beyond the core set listed above (due to previous roles and other technology) can also be an asset and a differentiator.…
Added 1 hour ago
SC
Asset TD
Stellar Creative Lab
Vancouver, BC
- Full-time
Scripting: Working knowledge of Python, enough to read, debug, and modify existing scripts and tools. You don’t need to be a software developer, but you should be comfortable dealing with…
Added 1 hour ago
C
Python SDET (Data Validation & API Testing)
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced Python SDET to join our team supporting a leading banking client. In this role, you will design, develop, and maintain automated testing solutions with a…
Added 1 hour ago
C
Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
Proficiency with PowerShell, Python, REST APIs, automation tools, authentication protocols (SAML, OAuth 2.0, OpenID Connect, Kerberos, RADIUS, SCIM), and experience supporting audit,…
Added 1 hour ago
MC
Cloud Platform Engineer – Kubernetes (36051)
Myticas Consulting
Toronto, ON
- Contract
…engineering expertise, combined with strong skills in Terraform, Python, GitHub, and cloud…
Added 1 hour ago
CC
Student, Engineer Operational Technology
Cameco Corporation
Saskatoon, SK
- Full-time
experience using programming tools, such as C/C++ or Python; and
Added 1 hour ago
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Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
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Design and build scalable data solutions using Databricks, PySpark, Spark SQL, Delta Lake, and Python.
Added 1 hour ago
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Analytics Consultant, Decision Support, Business Intelligence - FT (J1126-0067)
North York General Hospital
Toronto, ON
- Full-time
…Intelligence (BI) tools (e.g., Cognos, PowerBI, Tableau), SQL, R, Python, Excel or other analytic…
Added 1 hour ago
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Cloud - Bare Metal Infrastructure Engineer
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Canada
- Full-time
Added 1 hour ago
HT
Software Validation Technologist
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- Full-time
Experience with C# compliant languages such as C, Java, and Python -Experience with Modbus , Ethernet, EtherCAT
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Analyst, Risk
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Toronto, ON
Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
Added 2 hours ago
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SR Automation TOSCA DI Lead
Cognizant
Mississauga, ON
- Full-time
Added 2 hours ago
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CCAIP (IVR) Integration Developer
UST
Toronto, ON
- Full-time
We are seeking a CCAIP Integration and IVR Developer to architect, build, and maintain seamless integrations between our Google Contact Center AI Platform (CCAIP), IVR flows, and enterprise…
Added 3 hours ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.

Myticas Consulting

Cloud Platform Engineer – Kubernetes (36051)

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Cloud Platform Engineer – Kubernetes

Location: Toronto, ON

Position Overview

Myticas Consulting is seeking an experienced Cloud Platform Engineer – Kubernetes to support enterprise cloud infrastructure, container platforms, and application engineering teams.

This is a hands-on engineering role requiring advanced Kubernetes troubleshooting and platform engineering expertise, combined with strong skills in Terraform, Python, GitHub, and cloud networking.

The successful candidate must be able to independently investigate, diagnose, and resolve complex Kubernetes issues - not simply deploy or administer containerized applications.

Key Responsibilities

Engineer, maintain, and troubleshoot enterprise Kubernetes clusters, containerized workloads, and cloud platform services.
Perform advanced Kubernetes troubleshooting, root cause analysis (RCA), and incident resolution.
Support application teams with Kubernetes deployments, platform connectivity, and operational issues.
Build and maintain cloud infrastructure using Terraform (Infrastructure as Code / IaC).
Develop automation scripts and platform tooling using Python.
Work with GitHub repositories, version control, and CI/CD pipelines.
Troubleshoot cloud networking, connectivity, and infrastructure dependencies affecting Kubernetes environments.
Collaborate directly with engineering teams, application owners, and client stakeholders.
Improve platform reliability, operational efficiency, and reusable cloud infrastructure components.

Required Qualifications – Must Have

Advanced, hands-on Kubernetes experience, including complex cluster, workload, and platform troubleshooting.
Strong cloud platform engineering experience supporting enterprise environments.
Terraform experience for infrastructure provisioning, configuration, and automation.
Python scripting and automation experience.
GitHub experience for source control and collaborative development.
Cloud networking knowledge, including connectivity and infrastructure dependencies.
Strong root cause analysis and independent problem-solving capabilities.
Excellent communication skills, with the ability to work directly with technical teams and client stakeholders.

Nice-to-Have Skills

Go / Golang programming.
GitHub Actions and CI/CD automation.
Experience with managed database services.
Cloud security, Key Vault, and customer-managed encryption keys (CMK).
Development of reusable enterprise cloud platform components.
Experience in large-scale or regulated enterprise environments.

Ideal Candidate

A senior-level, hands-on Kubernetes / Cloud Platform Engineer who can independently resolve challenging Kubernetes infrastructure and workload issues.

The ideal candidate combines deep Kubernetes troubleshooting expertise with practical Terraform, Python, GitHub, and cloud networking experience. This is a platform engineering role rather than a position focused primarily on application deployment or basic Kubernetes administration.

Location Requirement: Candidates must be based in the Greater Toronto Area (GTA).

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More about this job

Responsibilities

Engineer, maintain, and troubleshoot enterprise Kubernetes clusters, workloads, and cloud platform services, including advanced incident investigation and root cause analysis. Build and automate cloud infrastructure with Terraform and Python, support application teams, and improve platform reliability in collaboration with engineering teams and stakeholders.

Requirements

Requires advanced hands-on Kubernetes troubleshooting experience, enterprise cloud platform engineering expertise, and practical skills in Terraform, Python, GitHub, and cloud networking. Candidates must be able to independently diagnose complex issues and communicate effectively with technical teams and client stakeholders.

Skills

Kubernetes
Cloud Platform Engineering
Terraform
Python
GitHub
Cloud Networking
Kubernetes Troubleshooting
Root Cause Analysis
Infrastructure as Code
Automation
CI/CD
Go
Managed Database Services
Cloud Security
Key Vault
Customer-Managed Encryption Keys

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
Cloud Platform Engineering
Enterprise Cloud Infrastructure
Container Platforms
Containerized Workloads
Terraform
Infrastructure as Code
Python
GitHub
Version Control
CI/CD Pipelines
Cloud Networking
Connectivity Troubleshooting
Root Cause Analysis
Incident Resolution
Platform Engineering
Go
GitHub Actions
Managed Database Services
Cloud Security
Key Vault
Customer-Managed Encryption Keys
Platform Reliability
Enterprise Environments
Regulated Environments

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