Job Description

Desired Skills and Experience:

• 7 - 10 years of experience with architecting, designing and implementing end-to-end cloud infrastructure solutions across leading Cloud platforms with a special focus on Azure and Google Cloud Platform

• Hands‑on experience in Python development with the ability to design and build proof-of-concept (POC) Generative AI and Agentic AI use cases, leveraging services such as Google Cloud Vertex AI, Azure AI Foundry, and Microsoft Copilot Studio.

• Familiarity with Large Language Models (LLM) application development frameworks, Retrieval‑Augmented Generation (RAG) architectures is good to have.

• Must have skills –

  • Cloud Infrastructure Architecture – Demonstrated expertise in architecting secure, scalable, and resilient hybrid and cloud-native infrastructure solutions on Azure and GCP, with deep knowledge of cloud services, networking, IAM, cost optimization, multi-cloud strategies, and hands-on experience with the pillars of the well-architected framework

  • Design and Development of AI Solutions on Cloud – Basic understanding and hands-on experience designing cloud infrastructure solutions to support AI/Generative AI/Agentic AI proof-of-concept use cases / solutions using either of the below platforms:

    • Google Cloud Vertex AI (Prompt Design, Agent Builder, Vector Search, LLM orchestration, Tooling)

    • Azure AI Foundry / Azure OpenAI (Prompt Flow, Agent orchestration, Model deployments)

    • Microsoft Copilot Studio (Plugins, custom connectors, enterprise data grounding, agent behavior design)

    • Strong hands-on Python development experience will be preferred.

  • Infrastructure-as-Code (IaC) and Configuration Management – Hands-on expertise in Infrastructure as Code (IaC) and configuration management leveraging tools such as Terraform, Ansible, python scripting etc. with a strong track record of automating cloud infrastructure provisioning, ensuring consistency and compliance across multi-cloud and hybrid environments.

  • DevOps / DevSecOps Knowledge – Extensive experience in designing and implementing enterprise-grade DevOps and DevSecOps solutions, with strong proficiency in GitHub, GitHub Actions, and enterprise CI/CD pipelines (Azure DevOps, Jenkins, Cloud Build etc.). Understanding secure coding practices, release automation, versioning, artifact management, and code-quality tooling.

• Good to have skills –

  • Datacenter Architecture / VMWare – Understanding and working experience in architecting and modernizing datacenter infrastructure using VMware or equivalent virtualization platforms, with a strong track record in leading complex datacenter migration and exit engagements, planning / merging new datacenter including workload assessment, planning, and execution.

  • Nutanix and RedHat OpenShift Virtualization Platforms – Familiarity with designing hybrid/private cloud architectures leveraging RedHat OpenShift, Nutanix platforms with hands-on experience in architecting and implementing VMWare to OpenShift migration engagements would be an added advantage.

  • Networking Architecture – Demonstrated experience in designing resilient and fault-tolerant network architecture for datacenter and cloud infrastructure solutions. Familiarity with modern network architecture concepts such as Software-defined networking (such as SDWAN etc.).

  • Workplace Transformation – Proven experience in leading workplace transformation initiatives, including strategy formulation and execution of Active Directory and Microsoft 365 tenant-to-tenant migrations, with strong understanding of identity, access, and collaboration architecture in enterprise environments.

  • Site Reliability Engineering – Knowledge of implementing Site Reliability Engineering (SRE) practices, including reliability design, observability, incident response, and automation to ensure scalable, resilient, and high-performing cloud infrastructure on leading tools such as ELK/Dynatrace/Splunk/Grafana etc.

  • Enterprise Architecture – Deep understanding and implementation experience of enterprise architecture frameworks and principles across multiple industry sectors, preferably TOGAF-certified, with strong capabilities in architecture governance, technology alignment, and driving strategic transformation initiatives.

Professional Certifications: AI Certifications AI‑102, Google Generative AI Leader, Vertex AI Engineer, Google Cloud ML Engineer; Azure Cloud Certifications AZ‑305, AZ‑104, AZ‑400; GCP Certifications Professional Cloud Architect, Professional Cloud DevOps Engineer; TOGAF (Good to have)

The Person:

• Experience in delivering client communications and strategic presentations to C-level executives, with strong technology advisory and consulting skills

• Outstanding interpersonal skills with the ability to develop and maintain excellent client relationships

• Embraces a growth mindset for business development, with an ability to groom junior resources within the team

• Good team player with strong commitment to professional and client service excellence.

B.Tech