Expert AI & Cloud Development Architect – Office of the CTO

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Company Overview
A leading global enterprise software provider is seeking an Expert AI & Cloud Development Architect to drive innovation across cloud-native and AI-integrated architectures. The organization delivers solutions across multiple industries, helping clients optimize operations, scale globally, and modernize technology landscapes with cutting-edge cloud and AI technologies.

Summary
As an Expert Cloud Development Architect, you will shape the company’s future architecture strategy in alignment with AI-first and suite-first product directions. Reporting to the Head of Architecture (US), you will act as a technical expert driving innovation across the portfolio by designing next-generation cloud-native and AI-integrated architectures. This role involves global collaboration, influencing platform evolution, product strategy, and customer outcomes while ensuring scalable, intelligent, secure, and future-ready solutions.

Responsibilities

• Own end-to-end architecture for multi-tenant, high-throughput, low-latency cloud-native systems
• Define reference architectures, guardrails, and engineering standards for microservices and data platforms
• Lead technical design reviews, mentor senior engineers and tech leads
• Architect and evolve Kubernetes-based platforms, service meshes, and API gateways
• Set API strategy and governance, including versioning, backward compatibility, observability, and security
• Select and govern data stores; design for scalability, availability, and data consistency
• Establish observability-by-design with metrics, logs, traces, and SRE practices (SLIs/SLOs, error budgets)
• Lead performance engineering, capacity planning, chaos testing, and cost optimization (FinOps)
• Implement security-by-design: threat modeling, zero trust, mTLS, and secure SDLC practices
• Evaluate and run proofs-of-concept, guiding roadmap and technology strategy
• Collaborate across teams to meet product strategies, goals, and compliance requirements
• Provide technical leadership: set standards/guardrails, conduct ADRs/RFCs, mentor, and influence across the organization

Core Technologies

• Cloud: Deep expertise in one major cloud (AWS/GCP/Azure) including compute, networking, storage, IAM; multi-AZ/region patterns
• Containers & Orchestration: Docker; Kubernetes (EKS/GKE/AKS); autoscaling
• Service Connectivity: Service mesh (Istio/Linkerd), Envoy; API gateways/ingress
• APIs: REST and gRPC; OpenAPI/Protobuf; versioning and backward compatibility
• Data Stores: PostgreSQL/MySQL; NoSQL (DynamoDB/CosmosDB/Cassandra/MongoDB); caching (Redis); search (Elasticsearch/OpenSearch); object storage (S3/GCS/Azure Blob)
• Streaming & Messaging: Kafka/Pulsar/Kinesis/Pub/Sub; queues (SQS/RabbitMQ)
• Observability Stack: OpenTelemetry; Prometheus/Grafana; Jaeger/Zipkin/Tempo; centralized logging (ELK/OpenSearch)
• CI/CD & IaC: GitHub Actions/GitLab CI/Jenkins; GitOps (Argo CD/Flux); Terraform/Pulumi; Packer; feature flags; blue/green and canary deploys
• Languages: Go, Java/Kotlin (Spring Boot/Quarkus), or C#/.NET; scripting with Python/Node.js; testing including contract tests
• Knowledge of SAP technologies is a plus

Minimum Qualifications

• 12+ years in software engineering with 5+ years architecting and building cloud-native distributed systems at scale
• Production experience on one or more major clouds (AWS, GCP, Azure) and Kubernetes
• Proven delivery of multi-region, highly available systems with reliability and security outcomes
• Deep understanding of distributed systems (consistency, partitioning, failure modes, resiliency patterns)
• Excellent communication and leadership skills, with ability to influence at executive and team levels

Disclaimer
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