Associate Architect - Platform Engineering

Quantiphi; Bengaluru; On-site; INR 3,600,000 - 7,200,000; Full time

Job summary

Quantiphi in Bengaluru seeks a senior Cloud Platform Architect to shape enterprise cloud strategy across GCP, Azure, and AWS, designing landing zones and governing operating models.

You will lead scalable AI infrastructure, security governance, SRE practices, and Kubernetes architectures, partnering with executives to guide long-term platform goals.

Qualifications

• Extensive experience architecting enterprise multi-cloud landing zones and platform infra across GCP, Azure.
• Proven governance: policy-as-code, modernization roadmaps, architecture review governance.
• Deep IAM federation, zero-trust networks, encryption, secrets management, and regulatory compliance (e.g., HIPAA).
• SRE principles, high availability, disaster recovery, observability, tracing, and centralized monitoring.
• Advanced proficiency with Terraform, automated CI/CD pipelines, GitOps workflows (ArgoCD/Flux), and self-service internal platforms.
• Hands-on Kubernetes cluster architecture across GKE/AKS/EKS, with service mesh and event-driven orchestration.
• Ability to drive technical vision, guide engineering teams, and interface with senior leadership.

Responsibilities

• Define enterprise cloud and platform architecture strategy, target-state designs, landing zones, and operating models across GCP, Azure, or AWS.
• Architect scalable infrastructure for AI workloads, including GPU clusters and model serving platforms.
• Establish enterprise security architecture and governance standards including zero-trust, IAM federation, secrets management, and compliance guardrails.
• Drive reliability engineering and production readiness with HA/DR, observability, tracing, and SRE practices.
• Lead infrastructure automation, GitOps deployment models, and IaC strategy using Terraform and CI/CD pipelines.
• Master Kubernetes cluster architecture (GKE/AKS/EKS), service mesh integrations, and event-driven orchestration for microservices and AI inference.
• Partner with executives and engineering teams to conduct architecture reviews and align platform strategy with long-term business goals.

Skills

Cloud Platform Architecture

Infrastructure Strategy

Security Architecture

Reliability Engineering

Infrastructure Automation

Kubernetes Mastery

Executive & Technical Leadership

Tools

Terraform

ArgoCD

Flux

Kubernetes

OpenTelemetry

CI/CD pipelines

GitOps

Job description

• Define enterprise cloud and platform architecture strategy, target-state platform designs, landing zones, and operating models covering GCP(Preferred), Azure(Preferred), or AWS ecosystems.
• Architect scalable infrastructure for AI, Generative AI, and specialized data workloads, including GPU compute clusters, model serving platforms, vector stores, graph databases, and AI gateway patterns.
• Establish enterprise security architecture and infrastructure governance standards covering zero-trust networking, IAM federation, secrets management, compliance guardrails, and automated policy enforcement.
• Drive reliability engineering and production readiness across platform infrastructure, defining standards for high availability, disaster recovery, observability, distributed tracing, and SRE operational practices.
• Lead infrastructure automation, GitOps deployment models, and Infrastructure as Code (IaC) strategy using Terraform, CI/CD pipelines, and internal developer platforms.
• Master Kubernetes cluster architecture (GKE/AKS/EKS), service mesh integrations, and event-driven workload orchestration for microservices and AI inference jobs.
• Partner with executive stakeholders, technical leads, and engineering teams to conduct architecture reviews, guide technical design, and align platform strategy with long-term business goals.

Must-Have Skills

• Cloud Platform Architecture - Extensive experience architecting enterprise multi-cloud landing zones, cloud-native services, and platform infrastructure across GCP, Azure
• Infrastructure Strategy & Governance - Proven capability in defining platform operating models, modernization roadmaps, policy-as-code guardrails, and architecture review governance.
• Security Architecture - Deep knowledge of enterprise IAM federation, zero-trust network boundaries, encryption, secrets management, and regulatory compliance (e.g., HIPAA).
• Reliability Engineering - Expertise in SRE principles, HA/DR design, SLA compliance, distributed tracing (OpenTelemetry), and centralized observability frameworks.
• Infrastructure Automation Strategy - Advanced proficiency with Terraform, automated CI/CD pipeline architecture, GitOps workflows (ArgoCD/Flux), and self-service internal developer platforms.
• Kubernetes Mastery - Hands-on mastery architecting and operating production Kubernetes clusters (GKE/AKS/EKS), container orchestration, ingress, and service mesh architectures.
• Executive & Technical Leadership - Demonstrated ability to drive technical vision, guide engineering teams, interface with senior leadership, and make high-impact platform decisions.