Solution Architect – Multi-Cloud DBaaS Platform (Azure / AWS / GCP)

Job Title: Solution Architect – Multi-Cloud DBaaS Platform (Azure / AWS /

GCP)

Location: Bangalore

Department: Customer Success

Reports To: VP Customer Success

Role Summary

We are looking for a Solution Architect to lead the architecture and

technical direction of our multi-cloud Database-as-a-Service (DBaaS)

platform spanning Azure, AWS, and GCP.

This role will drive system architecture strategy, ensure cross-team

technical alignment, and establish scalable, secure, and cloud-native

design principles for a globally distributed DBaaS product.

The architect will define cloud-agnostic patterns while leveraging cloud-

native capabilities across hyperscalers.

Core Mission

 Drive cloud-native architecture strategy across Azure, AWS, and

GCP.

 Ensure cross-functional technical alignment across product,

engineering, DevOps, security, and SRE.

 Design scalable, multi-tenant, high-availability DBaaS systems.

 Establish reusable patterns for automation, provisioning, and

lifecycle management.

Key Responsibilities

1️⃣ Multi-Cloud Architecture Strategy

 Define and own the reference architecture for DBaaS across:

• Microsoft Azure
• Amazon Web Services
• Google Cloud Platform

 Design control plane and data plane separation models.

 Define cloud-agnostic abstractions for provisioning and lifecycle

management.

 Architect multi-region, cross-cloud DR strategies.

 Evaluate managed services vs self-managed deployment models.

2️⃣ DBaaS Platform Engineering Leadership

Design and govern architecture for:

 Automated database provisioning & de-provisioning

 Self-service portal & API-driven consumption

 Auto-scaling and elastic capacity management

 Backup, PITR, and cross-region disaster recovery

 Observability & telemetry

 Cost optimization (FinOps alignment)

3️⃣ Database & Engine Architecture

Architect and standardize DBaaS support for:

 Managed services (RDS, Azure SQL, Cloud SQL equivalents)

 Self-managed containerized databases on Kubernetes

 Hybrid deployment models (Cloud + On-Prem)

Deep expertise expected in:

 Oracle

 PostgreSQL

 MySQL

 SQL Server

4️⃣ Cloud-Native Design & Automation

 Lead Kubernetes-based orchestration strategies.

 Define Infrastructure-as-Code standards (Terraform, ARM,

CloudFormation).

 Architect GitOps-driven deployment pipelines.

 Define CI/CD integration standards.

 Implement API-first and microservices architecture patterns.

5️⃣ Scalability, Reliability & SRE Alignment

 Define SLOs, SLAs, and error budgets.

 Architect high-availability patterns per cloud.

 Design failure isolation and blast-radius reduction strategies.

 Ensure platform resilience under multi-tenant workloads.

6️⃣ Security & Compliance Architecture

 Implement Zero-Trust architecture.

 Architect IAM federation across Azure AD, AWS IAM, and GCP IAM.

 Ensure encryption (KMS / Key Vault / Cloud KMS).

 Design network isolation (VPC/VNet, private endpoints).

 Support compliance frameworks (SOC2, ISO, GDPR).

7️⃣ Cross-Team Technical Governance

 Lead Architecture Review Boards.

 Standardize design documentation practices.

 Align multiple engineering squads on shared cloud frameworks.

 Reduce technical debt via architecture governance.

Required Experience  12+ years overall experience in distributed systems.

 5+ years architecting cloud-native platforms.

 Strong hands-on experience across at least two hyperscalers

(Azure/AWS/GCP).

 Experience designing SaaS or PaaS platforms.

 Strong database internals and HA/DR architecture knowledge.

 Expertise in Kubernetes and container orchestration.

Preferred Experience  Experience building or modernizing DBaaS platforms.

 Multi-cloud networking design (VPN, Peering, PrivateLink,

Interconnect).

 Cost governance & FinOps modeling.

 Experience with observability stacks (Prometheus, Grafana,

OpenTelemetry).

 Cloud Architect certifications (Azure/AWS/GCP).

Technical Stack Exposure (Expected)

 Kubernetes

 Terraform

 Helm

 REST APIs

 Service Mesh

 Kafka / Event-driven architectures

 CI/CD platforms

 Monitoring & Logging frameworks

Leadership Competencies

 Ability to influence across distributed engineering teams.

 Strong systems thinking and long-term architectural vision.

 Decision-making in ambiguity.

 Executive-level communication capability.

 Strong documentation and architectural governance mindset.

Success Metrics

 Multi-cloud architecture standardization achieved.

 Reduced provisioning time across clouds.

 Improved HA/DR benchmarks.

 Reduced cross-team rework.

 Improved platform scalability under enterprise workloads.