Solution Architect (Hyperscaler Technology Client)

Overview MobiusEngine.ai is partnering with a global hyperscaler to hire an expert Solution Architect who will design large-scale, cloud-native reference architectures; lead enterprise modernization initiatives; and guide high-growth customers in adopting advanced AI, data, and infrastructure services on the hyperscaler platform. This role sits at the intersection of cloud architecture, distributed systems design, customer engineering, and technical strategy. You will work directly with enterprise customers to define end-to-end architectures for AI, data platforms, security, migration, and mission-critical SaaS workloads—ensuring they are optimized for reliability, cost, performance, and security using hyperscaler-native services. The ideal candidate has deep hands-on experience with hyperscaler technologies, excels in customer-facing technical leadership, and can influence both executive stakeholders and engineering teams. Key Responsibilities Cloud Architecture & Customer Solution Design • 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. Enterprise Migration & Modernization Strategy • 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. Technical Leadership & Customer Success • 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. Reliability, Performance, Security & Compliance • 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 AI, Data, and Cloud-Native Platform Expertise • 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. Cross-Functional Collaboration & Execution • 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. Technical Environment (Varies by hyperscaler; typical customer stack includes) • Cloud: AWS / GCP / Azure (multi-region) • Compute & Container Platforms: Kubernetes, Serverless, GPU clusters • IaC & Automation: Terraform, Cloud Deployment Manager, ARM/Bicep • Data & Messaging: BigQuery, Redshift, Snowflake, Kafka, PubSub, Kinesis • AI/ML: Vertex AI, SageMaker, Azure ML, vector DBs, model serving frameworks • Observability: CloudWatch, Stackdriver, Azure Monitor, Datadog, OpenTelemetry • Security: IAM, KMS, VPC Service Controls, Secrets managers, OPA, SSO Qualifications • 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. Leadership Attributes • Expert Communicator: able to articulate complex architectures to executives and engineering teams. • Customer-Driven: balances business needs with technical depth and long-term strategy. • Strategic: able to design architectures that support future growth, AI adoption, and global scale. • Hands-On: comfortable diving into architecture reviews, diagrams, and system internals. • Influential: able to guide customers through decisions that impact their entire engineering roadmap. Why This Role This is a unique opportunity to operate as the technical authority for enterprise customers adopting next-generation cloud, AI, and data services. You will architect foundational systems that support mission-critical workloads, influence hyperscaler product direction, and accelerate digital transformation for some of the world’s largest organizations. If you’re an architect who thrives at the intersection of customer engagement, deep technical design, and strategic cloud innovation, this role offers a high-impact platform within a globally recognized hyperscaler environment. Apply tot his job