Company Name New Vision Softcom & Consultancy Pvt. Ltd
Function Business Units (BU)
Organization Unit DevOps
Region APAC
Country India
Base office location Pune
Working model Hybrid
Weekly Off Pune office Standard
State Maharashtra
Skills
Skill
Azure DevOps AI Concept ML Terraform Docker and kubernetes Identity Management MS Azure Cloud
Graduation/Equivalent Course Post Graduate
CERTIFICATION
Working Language
Job Description
Responsibilities
- Own Azure DevOps and platform engineering activities across the project
- Design and implement Azure infrastructure for enterprise AI and application workloads
- Define deployment architecture and environment strategy across DEV, TEST, UAT and PROD
- Design and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions
- Implement Infrastructure as Code (IaC) using Terraform
- Design and operate containerized workloads on Azure Kubernetes Service (AKS)
- Own Azure networking and connectivity, including VNets, subnets, Private Endpoints, DNS, routing, firewalls and integration with enterprise networks
- Implement identity and access management using Microsoft Entra ID, Managed Identities, Service Principals and Azure RBAC
- Manage secrets, certificates and credentials using Azure Key Vault
- Establish monitoring, logging and alerting using Azure Monitor, Application Insights and Log Analytics
- Implement DevSecOps controls, vulnerability scanning and security automation
- Define release, rollback, backup, disaster recovery and production support procedures
- Troubleshoot complex Azure infrastructure, deployment, networking, security and performance issues
- Provide technical leadership and standards for DevOps engineers
- Collaborate closely with infrastructure, cybersecurity, engineering and Microsoft teams on platform readiness and production onboarding
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics or a related field
- Proven track record in designing, building and supporting production-grade, enterprise-scale Azure platforms
- Expert-level knowledge of Microsoft Azure services and platform engineering
- Strong hands‑on experience with AKS, Docker and Kubernetes ecosystem tools
- High proficiency in Azure DevOps pipelines and writing Infrastructure as Code using Terraform and/or Bicep
- Practical knowledge of enterprise Azure networking (VNets, Private Endpoints, DNS, routing, firewalls)
- Solid understanding of Microsoft Entra ID, Managed Identities, RBAC and secrets management via Azure Key Vault
- Experience configuring monitoring stacks using Azure Monitor, Application Insights and Log Analytics
- Strong Linux administration and automation scripting skills in Python, Bash and/or PowerShell
- Excellent communication and leadership skills with ability to work directly with enterprise clients and security teams
- English proficiency at B2/C1 level or higher
Nice to have
- Experience establishing Azure AI Services and Azure OpenAI infrastructure
- Familiarity with Azure API Management gateways
- Understanding of AI/ML workload deployment (MLOps) and Databricks on Azure
- Experience with PostgreSQL and Azure managed database services
- Familiarity with Helm, Argo CD and GitOps workflows
- Hands‑on exposure to Red Hat OpenShift and hybrid Azure/on-prem environments
- Knowledge of SAST/DAST tools (e.g., SonarQube) and container vulnerability scanning
- Experience with regulated industries such as Finance, Energy or Healthcare