Undisclosed · 1 day ago
Solution Architect (Hyperscaler Technology Client)
San Francisco Bay Area
Full-time
Onsite
Senior Level, Lead/Staff
$180K/yr - $280K/yr
10+ years expMobiusEngine.ai is partnering with a global hyperscaler to hire an expert Solution Architect who will design large-scale, cloud-native reference architectures and guide high-growth customers in adopting advanced AI, data, and infrastructure services. This role involves working directly with enterprise customers to define end-to-end architectures for AI, data platforms, and mission-critical SaaS workloads, ensuring they are optimized for reliability, cost, performance, and security.
Financial Services
Hiring Manager
Marijo Amoyo
Responsibilities
Architect multi-region, cloud-native solutions leveraging hyperscaler managed services across Compute, Networking, Storage, Identity, Observability, Containers, and AI/ML
Produce HLDs, LLDs, architectural diagrams, landing zones, and modernization blueprints aligned with hyperscaler standards (AWS Well-Architected / Azure CAF / GCP Architecture Framework)
Define integration patterns, API designs, data flows, security boundaries, and operational models for large enterprise customers
Lead architecture reviews and provide expert advisory on multi-tier, distributed, and event-driven system designs
Lead cloud migration engagements including application discovery, dependency mapping, TCO analysis, and target-state architecture
Design modernization paths using:
Kubernetes / container platforms (EKS/AKS/GKE)
Serverless compute (Lambda / Cloud Functions / Azure Functions)
Event-driven architectures (PubSub, EventBridge, Event Grid)
Managed databases and cloud-native data platforms
Build repeatable frameworks and migration playbooks for rehosting, re-platforming, and re-architecting at scale
Serve as the trusted technical advisor for enterprise CxOs, VPs, architects, and engineering leaders
Lead workshops, whiteboard sessions, deep-dive assessments, and hands-on architecture sprints
Collaborate with hyperscaler product engineering teams to influence platform capabilities based on customer needs
Partner with Customer Engineering, Solution Engineering, and Product to ensure successful adoption and expansion of cloud services
Ensure customer architectures meet hyperscaler reference standards for:
High availability & multi-region failover
Observability with native tools (CloudWatch / Stackdriver / Azure Monitor)
Identity & access (IAM, service accounts, RBAC)
Network segmentation, private service access, zero-trust patterns
Advise customers on compliance frameworks (SOC 2, PCI, GDPR, ISO 27001, FedRAMP where applicable)
Conduct architecture reviews focused on:
Cost optimization
Performance tuning
Data governance
AI/ML safety and scale considerations
Design architectures for:
AI model serving & GPU workloads
Vector databases and feature stores
Streaming systems (Kafka, PubSub, Kinesis, EventHub)
Data warehouses and lakes (BigQuery, Snowflake, Redshift, Synapse)
Support deployments of real-time inference pipelines, ML orchestration tools (Vertex AI, SageMaker, Azure ML), and scalable API architectures
Advise on best practices for building secure, performant AI-powered applications using hyperscaler-native services
Work closely with Product, Security, Data Engineering, Infrastructure, and Customer Success teams on customer deliverables
Support pre-sales cycles through solution scoping, architectural assessments, RFP responses, and technical presentations
Define reusable architectures, accelerators, and best practices for the hyperscaler’s partner ecosystem
Qualification
Required
10–15+ years of engineering experience, with 5–8+ years in cloud architecture or solution architecture roles
Deep hands-on experience designing architectures on AWS, GCP, or Azure (multi-cloud preferred)
Strong expertise with distributed systems, Kubernetes, networking, IAM, API design, and cloud-native security
Experience leading customer-facing engagements and influencing senior technical and non-technical stakeholders
Demonstrated success in cloud migrations, modernization initiatives, and platform-scale architecture
Understanding of regulated environments (fintech, SaaS, healthcare, or enterprise compliance)
Bachelor's or Master's in Computer Science, Engineering, or equivalent field
Company
Undisclosed
Financial Services
Founded in 2016US
10001+ employeesFunding
Current Stage
Late StageLeadership Team
Sean Blanton, Ph.D.
Co-Founder and Member of the Management Board
Jeff Saginor
Chief Technology Officer
Company data provided by crunchbase