Top Cloud Engineer Jobs in NYC, NY

Designs, deploys, administers, and optimizes secure, highly available AWS infrastructure and Microsoft-based enterprise environments. Responsibilities include AWS architecture, SQL Server administration, enterprise networking, Windows Server and IIS support, infrastructure automation, monitoring, incident response, disaster recovery, security, and compliance. The role troubleshoots complex issues across cloud, network, operating system, database, and application layers, leads major incident resolution, supports migrations, and participates in on-call operations.

Owns complex, multi-tier application migrations from on-premises environments to Azure and AWS. Assesses readiness, resolves cross-domain infrastructure issues, adapts migration runbooks, coordinates cutovers and rollbacks, validates target environments, and stabilizes migrated systems. Develops automation using PowerShell, Bash, Python, and infrastructure-as-code tools; reviews technical artifacts; applies security controls; and guides junior migration engineers without serving as a people manager.

Provides hands-on support for enterprise migrations from on-premises data centers to Azure and AWS. Responsibilities include assessing dependencies and readiness, preparing cloud environments with infrastructure as code, managing replication, executing cutovers and rollbacks, validating systems, troubleshooting Windows/Linux infrastructure, and maintaining runbooks and change documentation. The role also supports networking, storage, virtualization, identity, security controls, monitoring, automation, and coordination with technical teams and vendors.

Develop and operate Salesforce Data Cloud, Marketing Cloud Engagement, and Marketing Cloud Next solutions. Build data streams, identity and consent models, audience segments, journeys, automations, personalized content, and integrations. Support platform administration, deliverability, governance, troubleshooting, and modernization while collaborating with marketing, analytics, compliance, security, and technology teams in an Agile environment.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.

Principal Engineer responsible for architecting, building, testing, deploying, and operating full-stack TypeScript applications. The role leads React and Next.js front ends, Node.js services, APIs, cloud infrastructure, integrations, databases, CI/CD, observability, security, and AI capabilities. It owns products end to end, establishes engineering standards, partners with creative and operations teams, and provides technical leadership on client projects. Strong autonomy, communication, architecture, and production operations skills are required.

Provides enterprise technical leadership for cloud and network modernization across DoD environments. Engineers multi-cloud integrations, secure connectivity, cloud access points, routing and switching, data center technologies, F5 ADC solutions, and Zero Trust architectures. Leads migration planning, compliance with DoD security frameworks, Tier 3/4 troubleshooting, technical documentation, executive recommendations, and cross-disciplinary initiatives. The hybrid role supports DLA and requires periodic onsite work for NIPR/SIPR operations.

Architects and implements enterprise-scale cloud network infrastructure across AWS, Azure, and Google Cloud. Develops Terraform modules and infrastructure-as-code testing, automates deployments through CI/CD pipelines, integrates cloud services with on-premises systems, and supports Kubernetes private-cloud networking. Leads cloud networking strategy, architecture, troubleshooting, incident response, and root-cause analysis while mentoring engineers, documenting solutions, and influencing cloud adoption across technical teams.

Build and maintain CI/CD pipelines, containerized applications, and cloud infrastructure. Automate provisioning and deployments, monitor system health and performance, troubleshoot infrastructure issues, and improve platform reliability. Implement security controls, access management, observability, and infrastructure-as-code practices while supporting scalable distributed systems and developer infrastructure.

Build and maintain backend services, REST APIs, cloud workspace provisioning systems, and resource orchestration infrastructure. Improve performance, reliability, scalability, and security while developing integrations, SDKs, and developer tools. Contribute to architecture and ship features from concept to production. The role requires strong TypeScript, JavaScript, and Node.js skills, backend and database knowledge, and familiarity with Docker, Linux, and cloud infrastructure.

Build, automate, and manage scalable cloud infrastructure on Google Cloud Platform using Infrastructure as Code. Develop reusable provisioning automation, support deployments, improve reliability and observability with Datadog and Grafana, troubleshoot infrastructure issues, participate in incident response, and maintain secure configurations through GitHub-based engineering practices. Collaborate with application, platform, and SRE teams while using Jira for delivery activities.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.

Build and operate backend services and data pipelines for Temporal Cloud, including namespace provisioning, audit logs, and export. Responsibilities include designing scoped features, improving scalability and reliability, managing high-volume multi-tenant data, and enhancing observability through testing, instrumentation, dashboards, alerts, and runbooks. The role involves code reviews, incident response, production debugging, cross-functional collaboration, and continuous improvement of developer and customer experiences.

Own and scale cloud infrastructure supporting machine learning and robotics teams. Design reliable distributed systems, build observability across monitoring, logging, and tracing, implement infrastructure as code, improve security and incident response, and optimize performance and cloud costs across AWS, GCP, and Azure.

Design, build, and manage scalable AWS cloud infrastructure using Terraform and Infrastructure as Code. Own infrastructure projects from design through deployment, troubleshooting, and optimization. Automate provisioning with Python or Bash, maintain CircleCI pipelines, support Docker and Kubernetes environments, optimize cloud costs, and troubleshoot AWS infrastructure, networking, permissions, databases, and deployments in collaboration with engineering teams.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Designs and manages scalable GCP infrastructure using Terraform, builds CI/CD automation, optimizes cloud performance and costs, and ensures reliability, security, and high availability. The role requires deep GCP and Terraform expertise, production cloud experience, incident troubleshooting skills, and familiarity with CI/CD platforms, containers, Kubernetes, Atlantis, IAM governance, and compliance auditing. Applicants must be U.S. citizens residing in the United States.

Provisions, configures, and maintains Azure infrastructure supporting ArcGIS Enterprise environments across Azure, AWS, and on-premises systems. Responsibilities include cloud architecture, troubleshooting, application and database deployment, monitoring, disaster recovery, automation, CI/CD pipelines, identity and access management, documentation, patching, and incident response. The role collaborates with geospatial, networking, and development teams on internal and client projects.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.

Lead the design and implementation of major cloud architecture components for highly scalable, low-latency services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, mentorship, and code reviews. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Own and improve a multi-account AWS platform, including networking, security, certificates, file delivery, CI/CD, infrastructure as code, workflow automation, monitoring, incident response, and cost compliance. The role manages production changes, documents systems and runbooks, supports development deployments, troubleshoots scheduled data workflows, automates repetitive tasks, and coaches junior engineers. It requires strong AWS, Linux, Terraform, scripting, security, deployment, and operational communication skills.

Design, automate, secure, and operate multi-cloud platform environments across Azure and AWS. Build infrastructure as code, CI/CD pipelines, containerized services, observability, security controls, and enterprise data-platform integrations. Troubleshoot incidents, improve resiliency and performance, support governance and analytics services, document architecture and procedures, and provide technical leadership while collaborating with engineering, cybersecurity, data, architecture, and government stakeholders.

Develops and supports Azure, Power Platform, Power BI, and Databricks solutions for enterprise reporting, analytics, and cloud modernization. Responsibilities include migrating legacy systems, designing dashboards and data products, analyzing complex datasets, defining data requirements, troubleshooting performance issues, and collaborating with data engineering, architecture, science, and stakeholder teams in an Agile environment.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Designs, deploys, and operates AWS network infrastructure across cloud and on-premises environments. Maintains hybrid connectivity, Cisco routing and switching, VPNs, DNS, load balancing, security controls, monitoring, and network automation. Troubleshoots complex connectivity and performance issues, supports incident and change management, documents infrastructure, performs capacity planning, and collaborates with cloud, security, application, DevOps, and data center teams. Participates in on-call support for critical systems.