DevOps & SRE Engineer: Kubernetes, Cloud, Automation

Tata Consultancy Services; Mississauga; On-site; CAD 100,000 - 120,000; Full time

Job summary

Tata Consultancy Services Canada Inc. is seeking an experienced DevOps/SRE/Infrastructure Engineer in Mississauga. The role focuses on Kubernetes, Linux administration, containerization with Docker, and robust CI/CD pipelines.

You will work across SQL databases and cloud platforms to ensure reliable, scalable services. The ideal candidate has hands-on experience with Kubernetes deployments, monitoring and logging tools, and strong scripting skills in Shell or Python.

Qualifications

• Minimum years of DevOps/SRE/Infrastructure Engineering experience.
• Hands-on Kubernetes administration and deployments.
• Strong Linux (RHEL/CentOS/Ubuntu) administration skills.
• Experience with SQL databases (Oracle, PostgreSQL, MySQL, SQL Server).
• Proficiency with Docker and containerization.
• Experience with CI/CD tools (Jenkins, GitLab, Azure DevOps, GitHub Actions).
• Proficiency in shell scripting and/or Python automation.
• Understanding of networking (DNS, load balancers, TCP/IP, SSL/TLS, firewalls).
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK, Splunk, Dynatrace).
• Familiarity with AWS/Azure/GCP cloud platforms and related services.

Responsibilities

• Maintain and improve CI/CD pipelines and automation.
• Ensure reliable deployment and monitoring of services.
• Troubleshoot infrastructure issues and optimize performance.

Skills

Kubernetes

Linux administration

SQL databases

Docker

CI/CD tools

Shell scripting

Python automation

Networking concepts

Monitoring and logging

Cloud platforms

Tools

Jenkins

GitLab CI/CD

Azure DevOps

GitHub Actions

Prometheus

Grafana

ELK

Splunk

Dynatrace

Job description

Tata Consultancy Services Canada Inc. is seeking an experienced DevOps/SRE/Infrastructure Engineer in Mississauga. The role focuses on Kubernetes, Linux administration, containerization with Docker, and robust CI/CD pipelines.

You will work across SQL databases and cloud platforms to ensure reliable, scalable services. The ideal candidate has hands-on experience with Kubernetes deployments, monitoring and logging tools, and strong scripting skills in Shell or Python.