Top Cloud Engineer Jobs in NYC, NY

Develop and maintain full-stack cloud applications for PwC’s Risk Consulting practice. Responsibilities include designing, coding, testing, and debugging software; integrating APIs and microservices; building CI/CD and GitOps deployment pipelines; deploying applications and AI APIs to major cloud platforms; conducting code reviews; analyzing business requirements; and collaborating with clients and cross-functional teams to deliver secure, high-quality solutions.

Design, implement, and maintain scalable, secure cloud solutions (primarily GCP) using Infrastructure as Code, CI/CD, automation, and cross-functional collaboration to support R&D workloads and compliance requirements.

Designs, deploys, and supports Microsoft cloud solutions, including Azure and Office 365 migrations, hybrid cloud environments, scalable infrastructure, compute frameworks, and network-centric architectures. Responsibilities include CSP onboarding, production deployment leadership, infrastructure modernization, technical collaboration with customers and vendors, and maintaining reliable cloud environments. Candidates should understand Active Directory, Azure AD, DFS, SSO, MDM, MFA, Intune, networking, SQL, Exchange, and SharePoint. Microsoft Azure or Office 365 certifications are preferred.

Build and operate CoreWeave’s multi-cloud internal infrastructure across GCP, Azure, and AWS. Manage cloud foundations, IAM, networking, Terraform infrastructure as code, monitoring, logging, CI/CD, backups, disaster recovery, and production reliability. Troubleshoot complex infrastructure and application issues, support cloud migrations and acquisitions, implement secure architecture patterns, and contribute to incident response and root-cause analysis. Mentor junior engineers and communicate technical decisions across teams.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Leads the design, implementation, governance, security, and optimization of scalable Microsoft Azure PaaS environments. Builds cloud-native platforms using Azure services, infrastructure-as-code, scripting, and CI/CD pipelines. Advises development teams on cloud adoption, drives observability and reliability improvements, leads incident resolution, and mentors engineers. Collaborates with engineering, security, architecture, and service management teams while evaluating new Azure capabilities and improving cost, performance, and availability.

Designs and governs primarily Oracle Cloud architectures, with support for AWS, Azure, and GCP multi-cloud initiatives. Translates business and technical requirements into scalable, secure hybrid-cloud solutions; develops standards, frameworks, governance models, and architecture documentation. Guides engineering teams and supports migration initiatives involving on-premises infrastructure. Responsibilities include cloud networking, DevOps automation, security, FinOps, monitoring, disaster recovery, database platforms, configuration, patching, backups, and observability.

Design, build, and operate secure, scalable Azure infrastructure and shared platform services. Develop landing zones, networking, identity, governance, PaaS, containers, CI/CD pipelines, and Infrastructure-as-Code frameworks using Terraform, GitHub Actions, or CDKTF. Create reusable deployment patterns and automation, apply security and compliance controls, and implement monitoring and operational readiness. Partner with engineering, data, security, and risk teams to deliver foundational cloud capabilities and enable enterprise-wide Azure adoption.

Cloud Engineer Interns will support cloud solution design, architecture, implementation, monitoring, troubleshooting, and security. They will collaborate with software engineering and cybersecurity teams, provide technical support, and identify performance improvements. The 10-week program includes mentorship, professional development, networking, and community service activities, with potential conversion to a full-time technology development program after graduation.

Leads a cloud SRE shared-services organization supporting AWS application platforms. Responsibilities include managing and mentoring engineers, modernizing infrastructure, governing Terraform modules and AWS patterns, building self-service provisioning and Harness CI/CD automation, establishing SLOs and error budgets, resolving critical incidents, implementing observability, improving resiliency, and planning disaster recovery. The leader also drives GenAI adoption, stakeholder alignment, security, governance, cost optimization, and engineering best practices across technology teams.

Administers and monitors cloud, storage, and virtualization infrastructure; troubleshoots incidents; performs storage array maintenance, upgrades, provisioning, replication, and quality assurance. Maintains technical documentation, manages tickets and alerts, supports clients, collaborates across teams, develops recurring-issue solutions, contributes to on-call coverage, and mentors or trains others.

Maintain and improve AWS cloud applications and infrastructure using Terraform, EKS, ECS, Lambda, and CI/CD pipelines. Manage Kubernetes environments, deployments, monitoring, vulnerability remediation, incident response, autoscaling, failover, and disaster recovery. Collaborate with development, operations, and security teams to ensure scalable, secure, fault-tolerant production systems. Participate in 24/7 on-call rotations, automate operational tasks, and maintain recovery runbooks and compliance with RTO/RPO requirements.

Lead the design and implementation of cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through hiring, design reviews, postmortems, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating resilient, high-volume Tier-1 cloud systems.

Lead the design and implementation of major cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating high-volume, resilient Tier-1 cloud systems.

Design, implement, secure, and operate enterprise GCP environments for U.S. federal workloads. Build cloud networking, Kubernetes platforms, Infrastructure as Code, CI/CD pipelines, automation, monitoring, and security controls aligned with federal compliance frameworks. Support ATOs, continuous monitoring, vulnerability remediation, troubleshooting, technical documentation, customer collaboration, and mentoring of junior engineers.

Provide senior-level ownership for AWS cloud platform operations, automation, and reliability. Support infrastructure provisioning, EKS/Kubernetes operations, EC2/AMI lifecycle, observability, incident response, patching, cost optimization, CI/CD automation, documentation, runbooks, and mentoring. Participate in on-call rotation, incident handling, and cross-team collaboration to ensure secure, scalable cloud operations.

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.

Implement and support AWS cloud infrastructure, platform services, and Infrastructure as Code with Terraform. Build CI/CD pipelines using GitHub Actions, administer AWS services including EKS, Lambda, S3, IAM, CloudWatch, and VPC, and automate provisioning, monitoring, and maintenance. Troubleshoot incidents, optimize performance, monitor platform health, collaborate on secure scalable solutions, and maintain technical documentation. The role is fully remote, requires U.S. citizenship, and may involve periodic travel and after-hours mission-critical support.

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

Evaluate and approve cloud platforms, run POCs, support teams to productionize cloud workflows, enforce security/cost/data guardrails, maintain platform catalogue and documentation, and educate stakeholders on best practices.

Senior cloud architect responsible for designing scalable, secure, cost-efficient multi/hybrid cloud architectures (primarily Azure), defining governance, migration strategies, IaC and automation, collaborating with engineering and business teams, and producing architectural documentation and standards.

Responsible for deploying, managing, and optimizing Azure cloud resources. Collaborates with teams to ensure compliance and security standards. Provides support, monitors environments, and offers recommendations for improvement. Mentors junior engineers.

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.