TechOps-CloudOps-Azure-DevOps-Senior

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.

Your key responsibilities

• Responsible for decision-making, optimizing processes, resource management, and overseeing team management as needed for task execution.
• Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.
• Azure Kubernetes Service (AKS)
• Design, deploy, and manage scalable AKS clusters for mission‑critical workloads.
• Implement secure cluster networking, workload identities, and governance policies.
• Optimize AKS performance, reliability, and cost as part of the platform architecture.
• Integrate AKS with CI/CD pipelines, GitOps workflows, and monitoring solutions.
• ARM Templates & Bicep
• Develop reusable ARM/Bicep infrastructure‑as‑code templates for automated deployments.
• Standardize resource deployments through parameterized and modular Bicep templates.
• Migrate legacy ARM templates to Bicep for improved maintainability.
• Ensure consistency, compliance, and repeatability across environments using IaC best practices.
• Azure DevOps
• Architect and implement end‑to‑end CI/CD pipelines for applications and infrastructure.
• Lead DevOps automation initiatives across build, release, testing, and deployment workflows.
• Implement secure DevOps practices, including secrets management and pipeline governance.
• Manage Azure Repos, Boards, Pipelines, Artifacts, and environment configurations.
• Landing Zone Architecture
• Design and implement Azure Landing Zones aligned with Microsoft Cloud Adoption Framework (CAF).
• Define foundational architecture for identity, networking, governance, policies, and management groups.
• Build scalable enterprise-ready landing zones for multi‑subscription and multi‑environment setups.
• Implement guardrails such as Azure Policies, RBAC structures, and blueprint‑style templates.
• Terraform & Terraform Cloud
• Develop and manage Terraform modules for consistent provisioning across environments.
• Implement Terraform Cloud/Enterprise for remote state management and secure pipelines.
• Automate Azure infrastructure deployments using version-controlled IaC.
• Enforce policies, workspaces, and governance using Terraform Cloud capabilities.
• AI-enabled CloudOps & Agentic Automation
• Design and implement AI-assisted operational workflows for alert enrichment, incident triage, event correlation, root cause analysis, knowledge retrieval, and runbook execution.
• Build and operate secure cloud operations agents using Microsoft Foundry, Azure OpenAI, Foundry Agent Service, Azure AI Search, and orchestration frameworks such as Microsoft Agent Framework or Semantic Kernel.
• Develop retrieval-augmented generation (RAG) solutions grounded in approved runbooks, knowledge articles, telemetry, and configuration data; apply vector, hybrid, and semantic search patterns.
• Integrate agents securely with operational tools and APIs using function calling and Model Context Protocol (MCP), with approval gates for production actions.
• Engineer production controls for identity, private networking, secrets, prompt-injection defence, data protection, content safety, auditability, evaluation, and responsible AI.
• Monitor AI services and agents for availability, latency, quality, token usage, model drift, cost, and operational risk using Azure Monitor, Application Insights, OpenTelemetry, and enterprise observability platforms.
• Documentation & Best Practices
• Create detailed architectural documents, design specs, deployment guides, and runbooks.
• Maintain IaC repositories with clear documentation, versioning, and conventions.
• Conduct knowledge transfer sessions, workshops, and technical enablement for teams.
• Provide guidance on DevOps, cloud governance, scalability, cost optimization, and security best practices.

Skills and attributes for success

• Hands-on experience with CI/CD tools like GitHub Actions, Azure DevOps Pipelines,
• Expertise in Infrastructure as Code (IaC) using Terraform; good understanding of ARM Templates/ Biceps.
• Familiarity with scripting languages such as Bash and Python.
• Deep understanding of Azure services(VMs, Blob Storage, AKS, AAD).
• Container orchestration and management using Kubernetes, Helm, and Docker.
• Experience with configuration management and automation tools such as Ansible.
• Strong understanding of cloud security best practices, IAM policies, and compliance standards.
• Experience with ITSM tools like ServiceNow for incident and change management.
• Practical understanding of generative AI, large language models, prompt engineering, embeddings, vector databases, vector search, RAG, agentic workflows, tool/function calling, and MCP in an enterprise operations context.
• Hands-on Python experience for API integration, telemetry processing, automation, evaluation, and AI-enabled operational tooling.
• Ability to design human-in-the-loop automation with least-privilege access, measurable quality thresholds, rollback controls, audit trails, and safe failure handling for production environments.
• Strong documentation and communication skills.

To qualify for the role, you must have

• 5 - 8 years of experience in DevOps, cloud infrastructure operations, and automation.
• Hands-on expertise in Building and deploying Azure cloud environments for high availability systems.
• Proficiency in Kubernetes, Terraform, CI/CD tooling, and automation scripting.
• Demonstrated experience delivering at least one AI-enabled CloudOps, DevOps, SRE, observability, service-management, or knowledge-assistant use case from design through production support.
• Experience in a 24x7 rotational support model.
• Relevant certifications in Azure (e.g., Azure Solutions Architect Expert, DevOps Engineer Expert).

Technologies and Tools

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

Good 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

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today. 

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.

Professional Development: From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.

People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.

Benefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development.

How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy.

Successful candidates advance to a competency-based interview. If mutual interest persists, a job offer awaits.

“We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion”.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.