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Tata Consultancy Services

Platform Engineer - AI/ML Infrastructure

Toronto, ON, Canada

Pay: $90,000 to $110,000 CAD / year
Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 22, 2026

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Original job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Platform Engineer - AI/ML Infrastructure

Roles and responsibilities:

Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.

Youll be responsible for building reliable, scalable, and secure deployment pipelines using modern GitOps practices.

Deploy and manage LlamaIndex Cloud and KDB.AI applications and similar products supporting AI workloads across Dev/QA/Prod environments

Implement GitOps workflows using Flux CD for automated deployments

Administer Kubernetes clusters across multiple environments

Configure HashiCorp Vault for secrets management and ExternalSecrets integration

Maintain CI/CD pipelines with GitHub Actions and Artifactory

Work with enterprise Identity Management team to configure OIDC authentication with Microsoft Entra ID

Create and maintain Helm charts and Kubernetes manifests

Monitor application performance and troubleshoot production issues

Document procedures, runbooks, and infrastructure patterns

Required Skills

Core Technologies:

Managing production Kubernetes clusters

Experience with Flux CD, ArgoCD, or similar GitOps tools

Advanced Helm chart development and management

HashiCorp Vault for secrets management

Artifactory or similar container registries

CI/CD with GitHub Actions, Jenkins, or similar

Infrastructure & Database:

PostgreSQL, MongoDB, Redis, RabbitMQ administration

Database HA/failover configurations (PgBouncer, HAProxy)

Linux/Unix systems and shell scripting (Bash, PowerShell)

Kubernetes networking, Ingress, and Gateway API

Nice to Have:

Experience with LlamaIndex, LangChain, or AI/ML platforms

Vector databases or KDB.AI knowledge

Temporal.io workflow orchestration

Python/Go for automation

Salary Range - CA$ 90,000 - CA$ 110,000 Per Year

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

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More about this job

Responsibilities

The Platform Engineer will deploy and manage AI/ML infrastructure, including LlamaIndex Cloud and KDB.AI applications on Kubernetes. Responsibilities include building secure deployment pipelines using GitOps practices and administering multi-environment Kubernetes clusters.

Requirements

Candidates must have extensive experience managing production Kubernetes clusters and implementing GitOps workflows with tools like Flux CD or ArgoCD. Proficiency in database administration, CI/CD pipeline management, and infrastructure security tools like HashiCorp Vault is required.

Skills

Kubernetes
GitOps
Flux CD
Helm
HashiCorp Vault
CI/CD
GitHub Actions
PostgreSQL
MongoDB
Redis
RabbitMQ
Linux
Shell scripting
Python
Go
OIDC

Visa sponsorship

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Keywords

Platform Engineer
AI/ML Infrastructure
Kubernetes
GitOps
Flux CD
LlamaIndex Cloud
KDB.AI
HashiCorp Vault
CI/CD
GitHub Actions
Artifactory
OIDC
Helm
PostgreSQL
MongoDB
Redis
RabbitMQ
Linux
Bash
PowerShell
Ingress
Gateway API
LangChain
Temporal.io
Python
Go
Automation
Infrastructure
Database Administration
Cloud

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