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Job Title


Quality Assurance Automation Engineer


Company : Tata Consultancy Services


Location : toronto, Ontario


Created : 2025-12-18


Job Type : Full Time


Job Description

Required Skills: Proficiency in one or more major cloud platforms, such as Azure (preference), Google Cloud, AWS or others Experience with modularized IaC(Infrastructure as Code) and industry tooling e.g. Terraform Open Tofu, Ansible, Packer Configuration management, Secrets Management (Consul, Vault, KMS systems, Consul Template) Operational concerns Disaster Recovery, Disaster Resilience, Monitoring, Alerting (ITSM) Change, KnowledgeIncident Management Containerization technologies Docker Container, Kubernetes (K8S, K3S), container registries and artifact tools (e.g. Artifactory, GCR, ACR, ECR) Administration of Kubernetes clusters Understanding of microservices principles and best practices for designing scalable and modular architectures including API Gateway technologies and best practices Understanding of event-driven architecture principles and best practices and tooling (e.g. Pub Sub, Kafka etc.) Familiarity with serverless computing services and functions (e.g. Azure Functions, AWS Lambda etc.) Proficient in cloud networking concepts, including VPCs, subnets, routing, load balancing, Firewalling (including WAF), and security groups Strong knowledge of cloud security best practices, including identity and access management (IAM), encryption, and security group configurations, SAST DAST tooling (CrowdStrike, Qwiet.AI, Prisma Cloud etc.) Experience with cloud monitoring and logging tools like AWS CloudWatch, EFKELK Stack, Open Telemetry, Dynatrace, Datadog, New Relic etc Knowledge of diagramming tools and methodologies (e.g. Miro, Diagrams.net, Fig jam, Mermaid.JS etc.)Roles and Responsibilities: Help the Cloud Architectural Artifacts Networking, firewalling, routing Implementation level architecture for scalable IA strategies (e.g. modularization etc.) Platform Vs Service level Contribute to and maintain our org wide Architecture Decision Records Enable our Cloud Policies, Procedures and Standards Disaster Resiliency, Recovery and Availability Planning tooling, use and quality gating Cloud technology stack services consultancy and selection in accordance with technical and quality requirements (scalability, performance, security, compliance) Support our Cloud Operational Practices Drive Ecommerce and Parts townwide projects Cloud infrastructure TCO modeling and optimization Capacity planning by continuously monitoring utilized resources and demand trends Manage relationships with cloud service providers to ensure smooth operations and support. Lead and ensure compliance with organizational security practices and auditing Ensure maximal uptime of our infrastructure and services through monitoring, alerting, golden signals and on-call support Drive best in class cloud strategies Knowledge transfer, training, mentoring of cloud practices across the engineering org