2 days ago
Mumbai, India or Bengaluru, IndiaSenior
Responsibilities
- Lead the migration and modernization of legacy and on-premises applications to Azure, including containerization and deployment to AKS.
- Design, implement, and maintain scalable, secure, and highly available Azure platform solutions.
- Develop and maintain Terraform and Terragrunt Infrastructure as Code for Azure resource provisioning and configuration.
- Build and support GitHub Actions CI/CD pipelines for application, database, and infrastructure deployments.
- Deploy and support containerized workloads using Docker, Kubernetes, Helm Charts, AKS, and ACR.
- Provision and manage Azure API Management, Azure Functions, Storage Accounts, Key Vaults, Load Balancers, Application Insights, and Azure Data Factory.
- Implement authentication and authorization using Microsoft Entra ID, OAuth 2.0, OIDC, and RBAC.
- Design secure Azure networking solutions involving VNets, NSGs, route tables, DNS, private endpoints, Azure Firewall, hub-and-spoke architecture, and hybrid connectivity.
- Support Microsoft SQL Server provisioning, migration, configuration, and performance optimization.
- Monitor platform health, troubleshoot production incidents, perform root cause analysis, and improve reliability and performance.
- Collaborate with application, data, infrastructure, and business teams on cloud-native solutions.
- Maintain technical documentation, architecture diagrams, deployment standards, runbooks, and best practices.
- Mentor junior engineers and contribute to improvements across cloud, DevOps, automation, security, and platform engineering.
- Support scheduled-job and legacy-integration migrations to Azure Functions and other cloud-native services.
- Support application integration initiatives involving APIM and internal or external APIs.
Requirements
- At least three years of experience as an Azure Platform Engineer, with some AWS experience.
- The posting identifies the experience level as Senior Platform Engineer with 4+ years of experience.
- Strong experience with Terraform, Terragrunt, Azure CLI, PowerShell, and Bash.
- Hands-on experience with AKS, Kubernetes, Docker, Helm Charts, and ACR.
- Experience building and supporting GitHub Actions-based CI/CD pipelines, repository management, branching strategies, and release automation.
- Experience with application modernization, containerization, and migration of legacy applications such as WebSphere workloads to AKS.
- Experience with Azure API Management, Azure Functions, Azure Key Vault, Azure Storage Accounts, Azure Load Balancers, Application Insights, and Azure Data Factory.
- Experience implementing authentication and authorization using Azure AD or Microsoft Entra ID, OAuth 2.0, OIDC, and RBAC.
- Strong understanding of Azure networking, including hub-and-spoke architecture, VNets, NSGs, Azure Firewall, route tables, private endpoints, DNS, and hybrid connectivity.
- Experience provisioning and supporting Microsoft SQL Server and Azure Data Factory pipelines.
- Experience with monitoring, troubleshooting, production support, root cause analysis, cloud migration, and modern DevOps practices.
- Ability to design and implement IaaS, PaaS, and SaaS architectures and resolve complex technical issues and production incidents.
- Ability to mentor junior developers and communicate effectively.
- Azure Solutions Architect certification is preferred.
- Familiarity with Windows and Linux/UNIX environments and knowledge of SQL and NoSQL databases are preferred.
- Experience with Java/Spring Boot and .NET applications, Azure DevOps, Dynatrace, security and governance services, and enterprise integration or hybrid connectivity solutions is preferred.
Benefits
- The role is located in Mumbai or Bangalore.
- The company describes a culture focused on transparency, diversity, integrity, learning, growth, innovation, and professional and personal development.
Tech Stack
Categories
About Quantiphi
Quantiphi is an AI-first digital engineering and consulting firm that designs and implements machine learning, data, and cloud solutions for large enterprises across industries. Its teams build production systems—such as generative AI applications, computer vision, and predictive analytics—primarily on Google Cloud and other hyperscalers, delivered as professional services and managed solutions. Founded in 2013 and headquartered in Marlborough, Massachusetts, the company is privately held and a Google Cloud partner.