Designs and leads cloud architectures for enterprise clients across AWS, Azure, and GCP. Responsibilities include cloud-native design, legacy infrastructure modernization, large-scale migrations, multi-cloud and hybrid-cloud strategy, security and governance, cost optimization, and performance tuning. Success is measured by scalable, reliable infrastructure, successful migrations, and improved cost efficiency.
This is a remote position.
Design and lead cloud architecture for enterprise clients, enabling scalable, secure, and cost-efficient cloud environments across AWS, Azure, or GCP.
- Design cloud-native architectures and migration strategies
- Lead modernization of legacy infrastructure
- Define multi-cloud and hybrid cloud strategies
- Ensure security, compliance, and governance frameworks
- Drive cost optimization and performance tuning
- 10–15 years of experience in cloud architecture
- Deep expertise in AWS (preferred), Azure, or GCP
- Experience with large-scale cloud migrations
Cloud Architecture | AWS | multi-cloud | Security | Cost Optimization
- Successful cloud migrations
- Infrastructure scalability and reliability
- Cost efficiency improvements
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Serve as the technical bridge between Engineering, Product Management, and field teams. Translate cloud requirements into product requirements, validate enterprise architectures and workflows, and conduct hands-on feature and integration testing. Enable post-sale implementations through documentation, solution briefs, demos, and technical guides. Advise customers and partners on cloud architecture and integrations while supporting sales engineering and professional services teams.
Top Skills:
APIsAWSAzureCloud InfrastructureGCPIdentity Services
Software
Designs, deploys, and optimizes production Kubernetes clusters across hybrid and multi-cloud environments. Implements CI/CD, GitOps, and Infrastructure as Code automation; troubleshoots complex container infrastructure; and architects highly available data platforms for modern databases and processing systems. Acts as a technical advisor to enterprise customers, translating business requirements into resilient cloud-native solutions and collaborating with engineering and support teams.
Top Skills:
AnsibleCi/CdEnterprise NetworkingGitopsInfrastructure As Code (Iac)KubernetesLinuxMicroservicesOpenshiftRancherSoftware-Defined StorageTerraform
Information Technology • Design
Designs and delivers cloud-native applications on AWS, including microservices, serverless functions, APIs, event-driven systems, infrastructure as code, and CI/CD pipelines. The role emphasizes scalability, resilience, observability, security, and cost optimization, while integrating AI and LLM services using RAG and inference workflows. Responsibilities include architecture documentation, technical collaboration, code and design reviews, end-to-end ownership, and mentoring junior engineers.
Top Skills:
Api GatewaysAsynchronous MessagingAWSCi/CdClaudeCloud SecurityContainer OrchestrationContainersCursorEvent-Driven ArchitectureGoGraphQLGrpcIdentity And Access ManagementInfrastructure As CodeJavaLarge Language ModelsMicroservicesObservabilityPythonRestRetrieval-Augmented Generation (Rag)Serverless ComputingSurfosTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
