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:
o Microsoft Azure
o Amazon Web Services
o 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.