2,051,924open jobs
122,893companies
254,180added this week
Browse all
Salary
≈ $75k – $137k per year (Estimated)
Location
In office (Toronto)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 30, 2026. Tata Consultancy Services scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Engineer. Skills: GCP - IT Service Management Consulting. Experience: 5 - 20 Years

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.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the

technology partner of choice for industry-leading organizations worldwide.

Since its inception in 1968, TCS has upheld the highest standards of

innovation, engineering excellence and customer service.

It has set an aspiration 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 of the Tata Group, TCS is focused on

creating long term value for its clients, its investors, its employees, and the

community at large. With a highly skilled workforce spread across 56 countries

and 194 service delivery centers across the world, the company has been

recognized as a top employer in six continents. With the ability to rapidly

apply and scale new technologies, the company has built long term partnerships

with its clients. Many of these relationships have endured into decades and

navigated every technology cycle, from mainframes in the 1970s to artificial

intelligence today.

Key Responsibilities

  • Cloud Platforms: Azure and Google Cloud Platform (GCP)
  • Infrastructure as Code (IaC): Terraform (including module development and

multi-region state management)

  • CI/CD & GitOps: GitHub Actions, GitLab CI, or Jenkins (with automated

testing and security scanning)

  • Containerization & Orchestration: Kubernetes (EKS/GKE) and Docker
  • Core Networking & Security: IAM policy enforcement, VPC design, and Secrets

Management (e.g., HashiCorp Vault)

  • AI/ML Concepts (Nice-to-Have): Model Context Protocol (MCP),

Retrieval-Augmented Generation (RAG) architecture, Vector Databases (e.g.,

Pinecone, pgvector), and Prompt Engineering fundamentals.

Roles & Responsibilities

  • Develop, design, scale, and secure our high-performance multi-cloud platform.

In this role, you will take full ownership of provisioning robust,

production-grade cloud environments while helping to build the operational foundation

for our next-generation AI integrations.

  • You will act as the bridge between traditional cloud operations and modern AI

enablement. Your day-to-day will focus on writing clean, modular Terraform code

for AWS and GCP, building highly efficient CI/CD pipelines, and configuring

containerized environments in Kubernetes.

  • Additionally, you will play a key role in supporting our engineering team's

AI initiatives. This includes helping to provision infrastructure for Retrieval-Augmented

Generation (RAG) systems, managing secure vector databases, and implementing

standard integrations like the Model Context Protocol (MCP) to safely connect

LLMs to our internal data services.

  • Assist with implementing AI guardrails and validation mechanisms to support

secure and responsible AI usage.

  • Support implementation of RAG (Retrieval-Augmented Generation) solutions,

including document ingestion, embeddings, vector search, and response

generation.

TCS does not use artificial intelligence tools for candidate screening

or evaluation. This post is for a current vacancy. The hiring process includes

an initial screening, followed by a technical evaluation and managerial

discussion.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,051,924 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Toronto
≈ $85k – $156k per year (Estimated) · In office · 1+ year exp · Quebec
Python
AI/ML
Scikit-learn
NLP
TensorFlow
PyTorch
LLM
DevOps
GCP
Azure
Git
AWS
Apply
$250k – $300k per year · Remote (United Kingdom, Canada) · Full-Time
Python
Rust
C++
AI/ML
Quantization
CUDA
Machine Learning
Apply
≈ $81k – $149k per year (Estimated) · In office · Full-Time · 5+ years exp · Mississauga
Python
AI/ML
Model Context Protocol
AI Agents
LLM
RAG
LLMOps
Agentic Workflows
Multi-Agent Systems
DevOps
GCP
Management
ServiceNow
Apply
≈ $90k – $166k per year (Estimated) · In office · 1+ year exp · Calgary
Python
AI/ML
Scikit-learn
NLP
TensorFlow
PyTorch
LLM
DevOps
GCP
Azure
Git
AWS
Apply
≈ $71k – $162k per year (Estimated) · In office · Full-Time · Bachelor's Degree · Toronto
Python
Java
C++
C++
TensorFlow C++
AI/ML
LangGraph
LangChain
JAX
TensorFlow
PyTorch
Time Series
Machine Learning
Apply
≈ $54k – $92k per year (Estimated) · In office · 8+ years exp · Toronto
JavaScript
SQL
Databases
MySQL
Management
Jira
Agile
Apply
≈ $55k – $98k per year (Estimated) · In office · 5+ years exp · Bachelor's Degree · Toronto
Python
JavaScript
Kotlin
TypeScript
SQL
DevOps
Rest API
Azure DevOps
Azure
CI/CD
Git
AWS
SOAP
Management
Confluence
Agile
Scrum
QA
TestRail
Selenium
Cypress
Playwright
Swagger
Appium
Postman
Rest-Assured
SoapUI
Apply
≈ $55k – $103k per year (Estimated) · In office · 5+ years exp · Toronto
SQL
PowerShell
Databases
Azure SQL Database
DevOps
Ansible
Azure DevOps
GitHub Actions
New Relic
Azure
CI/CD
Jenkins
Configuration Management
Incident Management
Cybersecurity
Microsoft Entra ID
Apply
≈ $65k – $111k per year (Estimated) · In office · 5+ years exp · Toronto
AI/ML
AI Agents
Apply
≈ $54k – $95k per year (Estimated) · In office · 5+ years exp · Toronto
JavaScript
SQL
Management
Jira
Agile
Apply
See all jobs
This is one of many
2,051,924 more open roles from verified company boards, updated every day.