Data Infrastructure Engineer

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. About TCS: TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $ 30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. Required Skill Sets: • CDKTF Expertise Proficient with CDKTF and Terraform for Azure infrastructure • Azure AI Services Hands-on experience with Azure OpenAI, Cognitive Services, and Machine Learning • Azure Data Services • Azure Cosmos DB (SQL API, MongoDB API)• Azure Data Factory (pipelines, data flows, integration runtime)• Azure SQL Managed Instance and SQL Database4.Azure Synapse Analytics • Programming Strong TypeScript Python skills for infrastructure as code5.Azure Core Services Venet, Storage, App Services, Key Vault, application configuration. • DevOps CICD pipelines, Azure DevOps, GitHub Actions, Docker • The overall skills are highlighted above that are a must and the below shows the day-2-day expectations in terms of experience Infrastructure as Code Development • Design, develop, and maintain infrastructure as code using CDKTF for Azure AI services, data platforms, and database solutions • Implement automated deployment pipelines for AI and data infrastructure • Create reusable CDKTF constructs and modules for data and AI service patterns • Manage version control and CICD for infrastructure code using Azure DevOps or GitHub Action • Azure AI Services Implementation • Provision and configure Azure AI services including Azure OpenAI Service and large language models • Azure Cognitive Services (Vision, Speech, Language, Decision)Azure Machine Learning Workspace and MLOps pipelines • Document intelligence Azure Cognitive Search • Implement MLOps practices for machine learning model deployment and management Configure AI service networking, security, and compliance 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.