Role Overview

We are looking for an experienced Platform Architect to define and drive the architecture of a modern, cloud-native platform supporting scalable, secure, and resilient applications.

The role requires strong expertise in containerization, microservices, Kubernetes, cloud platforms, Redis, multi-tenant architecture, and cross-region deployment.

Microsoft

Azure experience is preferred.

The Platform Architect will work closely with engineering, DevOps/SRE, security, and product teams to establish platform standards, reference architectures, and reusable technical patterns.

Key Responsibilities

- Define the overall architecture and technical direction for the platform.

- Design scalable and resilient microservices-based architectures.

- Establish standards for containerized workloads and Kubernetes deployments.

- Define cloud architecture using Azure services and cloud-native design principles.

- Design secure and scalable multi-tenant architectures, including tenant isolation and resource segregation.

- Define multi-region deployment, failover, disaster recovery, and resilience strategies.

- Design caching and distributed state-management solutions using Redis.

- Establish standards for service communication, API design, asynchronous messaging, retries, resiliency, and fault handling.

- Define platform security patterns including identity, access control, secrets management, and workload isolation.

- Define observability standards for logs, metrics, traces, alerts, and service health.

- Guide Infrastructure-as-Code, CI/CD, and automated platform deployment practices.

- Conduct architecture and design reviews and drive resolution of architectural risks and technical debt.

- Create and maintain reference architectures, design documentation, and architecture decisions.

- Mentor engineering teams on cloud-native and distributed-system design practices.





Core Technical Skills

Must Have

Containerization

- Strong experience with Docker/OCI containers.

- Understanding of container lifecycle, security, networking, and image optimization.

Kubernetes

- Robust hands-on architectural knowledge of Kubernetes.

- Experience with:

- Deployments, StatefulSets, Services, and Ingress

- ConfigMaps and Secrets

- Autoscaling and resource management

- Persistent storage

- RBAC and network policies

- Cluster and workload high availability

- Experience with Azure Kubernetes Service (AKS) preferred.

Microservices & Distributed Systems

- Strong understanding of:

- REST APIs and service-to-service communication

- Event-driven and asynchronous architectures

- API gateways

- Service decomposition

- Resiliency patterns

- Distributed transactions

- Eventual consistency

- Idempotency

- Fault tolerance and graceful degradation

Cloud Architecture

- Strong cloud architecture experience, preferably with Microsoft Azure.

- Familiarity with relevant Azure services such as:

- AKS

- Azure Container Registry

- Azure Front Door / Application Gateway

- Virtual Networks and Private Link

- Microsoft Entra ID

- Managed Identities

- Key Vault

- Azure Monitor / Application Insights

- Azure Storage

- Azure SQL or equivalent databases

- Azure Service Bus / Event Hubs

- Azure Managed Redis

Redis

- Experience designing Redis for:

- Distributed caching

- Session or transient state

- High availability

- Replication and clustering





- Cache invalidation

- Performance optimization

Multi-Tenant Architecture

- Experience designing SaaS or shared platforms with:

- Tenant isolation

- Identity and authorization boundaries

- Data and resource segregation

- Tenant provisioning

- Noisy-neighbor mitigation

- Tenant-level monitoring and configuration

Multi-Region Architecture

- Experience designing:

- Regional deployment patterns

- Active-active and active-passive architectures

- Traffic routing

- Disaster recovery

- Regional failover

- Data replication

- RTO/RPO strategies

Preferred Skills

Experience in one or more of the following areas is desirable:

- Infrastructure as Code using Terraform or Bicep

- Azure DevOps or GitHub Actions

- Helm and GitOps

- Kafka, Azure Service Bus, or Event Hubs

- OpenTelemetry, Prometheus, and Grafana

- API Management and service mesh

- SQL and NoSQL databases

- Zero-trust and cloud security

- SRE and reliability engineering practices

Experience

- Typically 10 years of software or platform engineering experience.

- At least 4–6 years of experience in cloud-native and distributed-system architecture.

- Proven experience architecting production platforms using Kubernetes and microservices.

- Experience designing highly available, scalable, and resilient systems.

Key Architecture Competencies The candidate should be able to evaluate architectural trade-offs such as:

- Shared vs dedicated tenant infrastructure

- Shared Kubernetes clusters vs tenant-specific clusters

- Database-per-tenant vs shared database models

- Stateless vs stateful services

- Synchronous APIs vs asynchronous messaging

- Active-active vs active-passive regional deployments

- Managed cloud services vs self-managed components

- Security and isolation vs infrastructure cost

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