TechOps-CloudOps-Azure-DevOps-Senior
- Compensation
- Not disclosed
- Location
- Trivandrum, IN
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- Cloud Platforms: Azure
- CI/CD & Deployment: Azure DevOps Pipelines
- Infrastructure as Code: Terraform
- Containerization: Kubernetes (AKS), Docker, Helm
- Logging & Monitoring: Azure Monitor
- Configuration & Automation: Ansible, Bash
- AI-enabled CloudOps: Microsoft Foundry, Azure OpenAI, Foundry Agent Service, Azure AI Search, vector databases, RAG, prompt engineering, tool/function calling, and responsible AI controls
- Programming & Integration: Python, REST APIs, JSON, SDK-based integrations, managed identities, and secure secrets handling
- AI Observability & AIOps: Azure Monitor, Application Insights, Log Analytics, OpenTelemetry, anomaly detection, event correlation, and AI-assisted incident response
- Incident & ITSM: ServiceNow or equivalent
- Certification: Azure relevant certifications
Nice to have
- Cloud Infrastructure: CloudFormation, ARM Templates
- CI/CD & Deployment: GitHub Actions,
- Security: IAM Policies, Role-Based Access Control (RBAC), Security Hub
- Networking: VPC, Subnets, Load Balancers, Security Groups (AWS/Azure)
- Scripting: Python/Bash
- Observability: OpenTelemetry, Datadog, Splunk
- Agent Frameworks & Standards: Microsoft Agent Framework or Semantic Kernel, Model Context Protocol (MCP), multi-agent orchestration, and agent evaluation
- AI Operations Ecosystem: GitHub Copilot, ServiceNow AI capabilities, Datadog AI features, Splunk AI capabilities, or equivalent enterprise AIOps tooling
- Compliance: Azure Security Center, Azure CAF
Full description
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Service line - Position Title: TechOps_CloudOps_Azure_DevOps_Senior
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
About Global Delivery Services
Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.
Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.
Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.
Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.
Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.
The opportunity
We are looking for a skilled Senior Cloud DevOps Engineer with deep expertise in the Azure cloud platform and experience applying AI to CloudOps. This role is responsible for end-to-end infrastructure and deployment automation, CI/CD engineering, reliability, and incident resolution, while using generative AI and AIOps capabilities to improve observability, triage, root cause analysis, runbook automation, and operational efficiency. The role will lead escalations, design secure and governed AI-enabled operations solutions, and collaborate with engineering, infrastructure, security, data, and AI teams to deliver highly available services.