Cloud Infrastructure & DevOps Architect

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.

Job Requirements

• Senior years of experience in cloud infrastructure, DevOps and enterprise solution architecture, primarily across Microsoft Azure and AWS.
• Strong architecture and hands‑on experience with VNET, VPN, ExpressRoute, peering, virtual machines, storage and cloud foundation services.
• Expertise in Git, Jenkins, Azure DevOps, GitHub Actions and Ansible, including CI/CD pipelines, release automation and application onboarding.
• Proficiency in Infrastructure as Code using Terraform, ARM templates, Bicep and Ansible.
• Strong scripting skills in PowerShell, Python and Bash.
• Experience with Docker, Kubernetes and OpenShift.
• Knowledge of Azure Migrate, Azure Site Recovery and AWS Migration Hub.
• Strong understanding of cloud networking, security, identity and access management, RBAC, compliance, high availability and disaster recovery.
• Experience with Azure Monitor, Log Analytics, Application Insights and cloud performance optimization.
• Ability to develop HLDs and LLDs, communicate architectural decisions, and work effectively with technical and non‑technical stakeholders.
• Working knowledge of enterprise data platforms and services, including Azure Data Lake Storage, Azure SQL, AWS data services, data warehouses and data integration patterns.
• Understanding of data architecture concepts such as structured and unstructured data, data ingestion, ETL/ELT, APIs, metadata, data quality, lineage, retention, security and governance.
• Ability to collaborate with data engineering and analytics teams and design cloud infrastructure that supports secure, scalable and reliable data workloads.

Key Responsibilities

• Design end‑to‑end cloud infrastructure and DevOps architecture aligned with scalability, security, availability and operational requirements.
• Define cloud foundation, networking, identity, security, governance and disaster recovery architecture across Azure and AWS.
• Create architectural designs, standards, roadmaps, HLDs and LLDs, and translate project requirements into implementable cloud solutions.
• Lead cloud migration and transformation initiatives using Azure Migrate, Azure Site Recovery, AWS Migration Hub and suitable migration patterns.
• Design scalable CI/CD pipelines and release frameworks using Git, Jenkins, Azure DevOps, GitHub Actions and Ansible.
• Establish Infrastructure as Code and automation standards using Terraform, ARM, Bicep and Ansible.
• Guide containerized platform architecture using Docker, Kubernetes and OpenShift.
• Provide technical leadership for L3 troubleshooting, critical changes and complex cloud infrastructure issues.
• Drive monitoring, reliability, performance and cost optimization using Azure Monitor, Log Analytics and Application Insights.
• Ensure solutions follow security, compliance, responsible AI, data governance and cybersecurity best practices where applicable.
• Act as the technical point of contact for customers and stakeholders, and participate in service reviews, CAB meetings and architecture discussions.
• Provide technical guidance, documentation, knowledge transfer and training to delivery and operations teams.
• Define infrastructure patterns for data ingestion, storage, integration, processing and analytics workloads across Azure and AWS.
• Ensure data platforms follow appropriate security, access control, encryption, backup, retention, quality, lineage and governance requirements.