Platform Architect

Siemens Mobility

Bengaluru

On-site

INR 3,000,000 - 5,200,000

Full time

8 days ago
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Job summary

Siemens Mobility is seeking an experienced Platform Architect to define the architecture of a cloud-native platform for scalable and secure applications. You will set standards for containerized workloads, Kubernetes, and multi-tenant deployments, while driving Azure/AKS based solutions and cross-region resiliency.

You will collaborate with engineering, DevOps, security, and product teams to create reference architectures, guide CI/CD practices, and mentor teams in distributed-system design.

Qualifications

  • 10+ years of software or platform engineering experience.
  • 4–6 years in cloud-native and distributed-system architecture.
  • Proven Kubernetes and microservices production platform experience.
  • Ability to design scalable, highly available and resilient systems.

Responsibilities

  • Define overall architecture and technical direction for the platform.
  • Design scalable, resilient microservices-based architectures.
  • Establish container and Kubernetes standards across the platform.
  • Define multi-region deployment, DR/BC, and tenant isolation strategies.
  • Design caching with Redis and state management for SaaS platforms.
  • Guide IaC, CI/CD, and automated platform deployment practices.
  • Mentor engineering teams on cloud-native and distributed design.

Skills

Docker/OCI containers
Kubernetes
AKS
Azure
Redis
Multi-tenant architecture
Cloud-native design
Microservices
REST APIs
Event-driven architecture

Tools

Terraform
Prometheus
Grafana
OpenTelemetry
API Management

Job description

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.
  • Strong 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
  • Resiliency patterns
  • Distributed transactions
  • Eventual consistency
  • Idempotency
  • Fault tolerance and graceful degradation
  • Strong cloud architecture experience, preferably with Microsoft Azure.
  • Familiarity with relevant Azure services such as:
  • AKS
  • Virtual Networks and Private Link
  • Managed Identities
  • Key Vault
Redis
  • Distributed caching
  • Session or transient state
  • High availability
  • Replication and clustering
  • Cache invalidation
  • Performance optimization
  • Experience designing SaaS or shared platforms with:
  • Tenant isolation
  • Identity and authorization boundaries
  • Data and resource segregation
  • Tenant provisioning
  • Tenant-level monitoring and configuration
Multi-Region Architecture
  • 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
  • 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.

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

  • Shared vs dedicated tenant infrastructure
  • Database-per-tenant vs shared database models
  • Stateless vs stateful services
  • Managed cloud services vs self-managed components
  • Security and isolation vs infrastructure cost
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