Top Cloud Engineer Jobs in NYC, NY

As a Staff Cloud IAM Engineer, you will lead identity and access management strategy, ensuring secure access, automating workflows, and maintaining operational integrity across corporate IT systems.

Design, build, and operate secure, scalable AWS cloud platforms using IaC (Terraform), Kubernetes/EKS, and automation. Implement SRE practices, build reusable platform tooling (Python/Go), integrate security and compliance, improve observability and incident response, and collaborate with architecture, security, and application teams to support production environments.

As a Senior Cloud Support Engineer, you'll provide high-level support for GPU workloads, mentor team members, resolve complex technical issues, and enhance customer satisfaction through technical expertise and problem-solving.

Lead backend engineering for CrowdStrike's Asset Platform building cloud-native, microservice distributed systems at scale. Design and ship production code, optimize scalability, concurrency and performance, mentor engineers, collaborate across teams, apply engineering best practices and leverage AI to improve decision-making and workflows.

Design, build, and operate multi-region, multi-cloud network infrastructure across AWS, GCP, and Azure. Own cloud-to-cloud and customer connectivity, troubleshoot latency/packet-loss via pcap and path analysis, set technical direction for network expansion, improve cross-region connectivity, and identify network cost and efficiency improvements while participating in incident response and on-call rotation.

As a Cloud Security Engineer, you'll secure cloud infrastructure, manage AWS and Kubernetes security solutions, conduct assessments, and mentor engineers.

Lead design, build, and operate scalable, secure cloud platform capabilities. Develop Java/Spring Boot services, implement IaC with Terraform, run Kubernetes in HA, deliver CI/CD, apply SRE practices, use observability/APM tooling, and prototype AI/agentic workflows. Mentor engineers and enforce reliability, security, and compliance.

Lead enterprise GCP architecture and modernization, establish engineering standards, mentor teams, drive migrations, implement IaC and CI/CD automation, ensure security and compliance, optimize GCP services and observability, and partner across product and business stakeholders to deliver scalable, reliable cloud solutions.

Build and operate a hyper-scale data lake and analytics platform: develop Java microservices and Spark/Scala/Flink pipelines, own a new graph database, design ultra-high-scale data platforms, optimize performance and latency, enable efficient querying for analytics and ML, and collaborate on feature design and stability across teams.

Design, build, and operate cloud-native platform services and distributed systems to support research, AI, and data-intensive workloads. Create abstractions, APIs, and automation for cloud resource management; manage large-scale compute, storage, and networking; improve observability, performance, and resiliency; collaborate with researchers to deliver scalable production systems.

Lead and mentor a team building cloud-native, microservices-based full-stack platforms on AWS. Collaborate with product managers to design and deliver developer tools, integrate AI-assisted workflows, and improve developer productivity using modern languages, containers, orchestration, and databases.

Lead a team building cloud-native, microservices-based full stack platforms on AWS. Design and deliver developer tooling, integrations (Claude Code, GitHub, Copilot), and AI-powered workflows. Mentor engineers, collaborate with product managers, and apply JavaScript/TypeScript/Python, SQL, RDBMS/NoSQL, Docker, Kubernetes, and other AWS services to improve developer productivity and meet regulatory needs.

Responsible for supporting documentation for engineering, security, and operational processes of cloud solutions, specifically for federal agencies. Requires strong knowledge of cloud computing fundamentals and AWS.

Manage, secure, and scale AWS-hosted Lenel On-Guard environments; build automation and IaC for deployments; monitor availability and performance; troubleshoot customer issues; perform Windows and database administration; participate in 24x7 on-call rotation and collaborate with security and internal teams to improve the managed service.

Design, build, secure, and operate AWS-hosted OnGuard environments; automate deployments and configuration management; monitor performance and availability; troubleshoot customer issues; participate in 24x7 on-call rotation; collaborate with security, engineering, and AWS teams to maintain a scalable managed service.

Design, implement, and support cloud-based technical solutions across the organization. Collaborate with IT, product, analytics, and business teams to gather requirements, build automated cloud solutions, monitor production, document processes, and ensure alignment with architecture, security, and governance standards. Stay current with cloud offerings and assist in technical decision-making.

Lead and own the enterprise GCP platform: design, build, and operate a compliant, secure, production-grade landing zone. Define IaC, networking, identity, observability, and automation standards; mentor engineers; provide L3 support and roadmap leadership while enabling self-service and FinOps.

Design, automate, and migrate cloud infrastructure using IaC (Terraform, ARM) and major cloud platforms. Build secure, maintainable solutions (Python/Java, AKS, serverless), participate across the SDLC, collaborate with Security/IAM/Architecture, and produce operational documentation while improving cloud engineering practices.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

Lead architecture and deliver scalable, secure Azure solutions across the enterprise. Design IaC modules (Terraform), landing zones, CI/CD pipelines (Azure DevOps/GitHub Actions), governance (Policy as Code, RBAC), observability (Azure Monitor, Log Analytics, Application Insights), cost/performance optimization, container infrastructure, and incident response. Mentor engineers, run design/code reviews, and collaborate with stakeholders to translate business needs into production-ready cloud platforms.

Lead the design and implementation of cloud architecture to support CrowdStrike's mission in cybersecurity, ensuring scalability and resilience of services.

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

Design, migrate and manage applications to AWS. Implement and operate EC2, S3, RDS, Redshift, load balancing and CloudFormation. Integrate via AWS APIs/CLI/PowerShell/SDKs, coordinate with application teams, handle post-migration monitoring, backups, and third-party/tool integrations.

Provide Tier 2 escalation support for Tier 1 technicians by administering Azure and Microsoft 365 environments. Manage Azure infrastructure and M365 services, troubleshoot identity/MFA/Conditional Access, handle RBAC and security configurations, assist with PowerShell automation, document solutions, and collaborate with Tier 3 engineers.

Implement and operationalize Managed Services for Government Cloud customers across Azure Government, Azure GCC High, AWS GovCloud or Google Assured Workloads. Design secure landing zones, automation, monitoring, governance, and operational runbooks; support onboarding, transitions, compliance (FedRAMP, NIST, CMMC, etc.), incident handling, and production handoff. Collaborate with architects, security, PMs, and Managed Operations; mentor junior engineers and contribute to standards and reusable automation.