SeniorFull TimeEN
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
