We are seeking a cloud engineering technology specialist to support the hands-on implementation, configuration, documentation and operational readiness of the Azure AI Engineering Platform. This role will work under the guidance of senior architects and engineers to accelerate environment setup, IaC execution, monitoring enablement and platform support activities.

Roles and Responsibilities: ·

Implementation Support: Assist in provisioning Azure resources, configuring platform services, applying tags, enabling diagnostic settings and validating standard configurations.

Terraform Execution: Support Terraform module execution, parameter updates, deployment validation, state review and basic troubleshooting under senior engineer guidance.

Environment Setup: Help prepare Dev/Test/Prod environments, access prerequisites, service-account configuration, Key Vault entries and deployment documentation.

Monitoring Enablement: Configure basic Azure Monitor, Log Analytics, Application Insights, dashboards and alerting components as defined by the architecture.

Operational Support: Assist with runbook creation, knowledge-transfer material, deployment checklists, incident notes and platform handover documentation.

Issue Troubleshooting: Support triage of access, configuration, networking, policy, pipeline or monitoring issues and escalate complex items to senior engineers.

Quality Checks: Perform smoke testing, configuration validation, documentation reviews and evidence capture for readiness and governance activities.

Team Collaboration: Work closely with cloud, DevOps, security, SRE and AI engineering teams to support a smooth delivery cycle.

Required Mandatory Skills

· Working knowledge of Azure core services including resource groups, networking basics, storage,

Key Vault, monitoring, managed identities and RBAC concepts.

·Hands-on exposure to Terraform or other Infrastructure-as-Code tools, including variable updates,

module usage and plan/apply workflows.





· Basic understanding of CI/CD pipelines, Git, pull requests, deployment artifacts and workplace promotion practices.

· Ability to follow architecture standards, deployment runbooks and security guidelines with strong attention to detail.

· Good troubleshooting, documentation and collaboration skills in a fast-paced project delivery environment.

Required Industry Experience

· 4+ years of experience in cloud operations, infrastructure engineering, systems administration or platform support roles.

· 2+ years of Azure hands-on experience in implementation or operations support.

· 1+ year of exposure to Terraform, CI/CD, automation scripts or cloud deployment tooling.

· Experience supporting enterprise IT projects with security, networking, monitoring or operational documentation responsibilities.

· Ability to work effectively under senior engineer guidance while owning assigned tasks to closure.

Required Technical Experience

· Azure fundamentals, resource deployment, networking basics, private endpoint concepts, Key Vault basics, monitoring and diagnostic configuration.

· Terraform basics, module consumption, tfvars updates, plan/apply review, state awareness and deployment validation.

· Git, Azure DevOps or GitHub pipeline basics, artifact handling, environment variables and secure configuration handling.

· Monitoring tools such as Azure Monitor, Log Analytics, Application Insights dashboards and alert configuration.

· Foundational awareness of AI platform components such as AI Gateway, RAG, observability, token usage and prompt/transcript logging.

Project / Delivery Context

· Role is aligned to the Personal Health Concierge delivery initiative, focused on AI Engineering

Platform foundation, Azure landing zone, AI Gateway, security, governance, observability, CI/CD automation and Infrastructure-as-Code.

· This JD intentionally focuses on Cloud Engineering, DevOps and Security responsibilities. Other domain, product, AI engineering, UX, data and QA responsibilities are assumed to be staffed by other Brillio practices.

📌 Azure Tech specialist (Karnataka)
🏢 Brillio
📍 Karnataka