As a DevOps / Cloud Platform Engineer, you will design, automate, deploy and operate the cloud foundation for an enterprise-grade AI-enabled compliance technology platform.

You will work with architects, backend engineers, data engineers, AI engineers, QA and security teams to enable reliable deployments across development, test, demo, pilot and production-like environments.

• Build and maintain Azure cloud infrastructure for application services, containerized workloads, databases, storage, secrets, monitoring, messaging and integration components.

• Implement infrastructure-as-code using Terraform, Bicep, ARM templates or equivalent frameworks for repeatable environment provisioning.

• Design and maintain CI/CD pipelines for application services, backend APIs, front-end components, AI services, data services, infrastructure changes and release promotion.

• Containerize services using Docker and support deployments on Azure Container Apps, App Service, AKS or equivalent enterprise container platforms.

• Set up monitoring, logging, alerting, dashboards, health checks, service-level indicators and operational runbooks using Azure Monitor, Application Insights, Log Analytics or equivalent tools.

• Implement secure cloud engineering patterns covering Key Vault, managed identities, private networking, RBAC, secrets rotation, image scanning, vulnerability scanning and policy guardrails.

• Support deployment packaging for public cloud SaaS and client-controlled cloud/VPC installation patterns where required.

• Participate in incident troubleshooting, environment readiness checks, release governance, backup/restore validation and operational improvement activities.

• • Minimum 7–10 years of experience in DevOps, cloud engineering, SRE, platform engineering, infrastructure engineering or production operations.

• Hands-on experience with Azure or another major cloud platform; Azure experience is strongly preferred for this role.

• Practical experience with Terraform, Bicep, OpenTofu or equivalent infrastructure-as-code tools.

• Experience with GitHub Actions, Azure DevOps, GitLab CI/CD, Jenkins or equivalent CI/CD tools.

• Strong working knowledge of Docker, containers, Kubernetes concepts, environment configuration, secrets management and deployment troubleshooting.

• Experience implementing monitoring, logging, alerting and operational runbooks for production or pre-production environments.

• Understanding of cloud networking, IAM/RBAC, encryption, secrets management, security hardening and cost-aware cloud operations.