Top Cloud Engineer Jobs

As a Lead Software Engineer, you will design, develop, and administer Genesys Cloud for contact center solutions, focusing on IVR design and API integrations.

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.

Lead platform engineering for Capital One’s cloud operations resilience infrastructure. Responsibilities include designing, developing, testing, deploying, and supporting full-stack technical solutions; improving engineering practices; ensuring availability, resilience, and scalability; partnering with product owners; mentoring engineers; and adopting emerging technologies. The role uses AWS, Docker, ECS, Ansible, Terraform, Jenkins, scripting languages, and networking and security technologies.

Leads architecture and hands-on development of scalable ML and generative AI platforms. Builds Python APIs and SDKs, Databricks data and ML workflows, agentic AI capabilities, model integrations, infrastructure automation, and CI/CD pipelines. Ensures reliability, monitoring, security, performance, and cost efficiency while mentoring engineers, partnering with data science and product teams, and establishing AI-assisted engineering quality standards.

Designs, builds, administers, and supports cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Leads data quality, governance, troubleshooting, testing, automation, reporting, dashboards, and infrastructure design. Collaborates with Agile teams to translate business requirements into technical capabilities and supports decision-making for Audit and business management. The role is full-time onsite at an eligible Federal Reserve location and requires extensive security screening.

Design, implement, and manage Windows-based cloud infrastructure across public, private, and hybrid environments. Architect scalable, highly available, secure Windows solutions on Azure, automate with PowerShell and IaC, manage identity and networking, support virtualization and containerization, and operate on flexible schedules including potential shifts.

As a Security Engineer, you'll develop and deploy security controls for cloud workloads, ensuring compliance and working collaboratively with teams on automation and security assessments.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads the design and development of AI-driven enterprise and cloud security solutions. Manages teams delivering data, analytics, and machine learning engineering projects; oversees AI model implementation, data infrastructure, pipelines, and platform deployments. Uses Python and C++ for algorithm development, analyzes data, improves data quality, ensures technical compliance, mentors staff, manages client expectations, and drives innovation across cybersecurity and privacy initiatives.

Architect, build, and operate multi-cloud (AWS/Azure) networks across classified impact levels (IL-4/IL-5/IL-6+). Implement IAM, boundary protections, and compliance controls; support RMF/ATO/PA processes; remediate STIG/vulnerability findings; document architectures and security artifacts for national-security programs.

Leads technical go-to-market strategy and pre-sales activities for Rubrik Agent Cloud. Advises enterprise customers on agentic AI governance, security, and cloud capabilities; conducts technical sales calls and demos; qualifies opportunities; gathers customer feedback; aligns product roadmaps; develops sales collateral and enablement; and drives adoption across sales, partners, and the agentic AI ecosystem.

Build and maintain cloud infrastructure, deployment, observability, monitoring, logging, and error-handling systems. Develop self-service tools that improve engineering productivity, optimize application performance, modernize infrastructure, and reduce cloud costs. Partner with application teams on architecture and production systems, apply industry best practices, automate repetitive work, and participate in an on-call rotation.

Designs, implements, and manages cloud infrastructure, CI/CD pipelines, containerized applications, infrastructure-as-code, monitoring, logging, and automated deployment and scaling. Collaborates with development, operations, and security teams to optimize performance, troubleshoot environments, conduct code reviews, and apply security best practices across classified environments.

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.

Develop back-end software solutions for secure government cloud environments using Azure, AWS, and GCP. Build scalable systems, APIs, custom tools, and infrastructure using Golang, Terraform, Git, and Kubernetes. Design and automate cloud resource provisioning, manage configuration, address technical risks, and collaborate with development teams. The role requires a Top Secret clearance and completion of a DoD IAT Level II certification within 30 days.

Design, deploy, and manage secure, scalable Oracle Cloud Infrastructure environments. Build Terraform infrastructure as code, configure OCI networking, IAM, security, storage, and compute, and manage Oracle Kubernetes Engine. Maintain CI/CD pipelines, automation, monitoring, disaster recovery, and cost optimization. Collaborate with development, database, and infrastructure teams while mentoring junior engineers.

Designs, builds, and operates secure, highly available AWS cloud platforms and production workloads. Responsibilities include AWS architecture, infrastructure as code, automation, EKS/ECS cluster operations, CI/CD, cloud security, observability, monitoring, troubleshooting, cost optimization, and continuous operational improvement. The engineer partners with application, security, and SRE teams to deliver scalable cloud-native solutions and supports governance across multi-account environments.

Maintain and secure large-scale cloud computing environments, with a focus on virtual desktop infrastructure. Responsibilities include implementing VDI platforms, managing thin-client configurations, applying patches, maintaining SSL/TLS certificates, testing infrastructure changes, monitoring compliance with ISSOs, gathering performance metrics, and documenting system architecture and operational procedures. The role primarily supports DoD and Intelligence Community customers on-site at Wright-Patterson Air Force Base.

Design, deploy, secure, and manage scalable AWS cloud infrastructure and cloud-native platforms. Develop Terraform-based Infrastructure as Code, reusable cloud patterns, automation, monitoring, security controls, and compliance guardrails. Collaborate with stakeholders, manage the product backlog, optimize performance and costs, troubleshoot systems, document platforms, and mentor technology teams. Support hybrid and multi-cloud initiatives, legacy modernization, and CI/CD automation using Python, PowerShell, Bash, and related tools.

Designs, builds, administers, troubleshoots, and continuously improves Microsoft Azure and Microsoft 365 platforms. Responsibilities include operating Azure Virtual Desktop, managing Entra ID identity and access services, supporting Exchange Online, implementing infrastructure as code, maintaining security and compliance controls, and enabling Microsoft Copilot and Copilot Studio. The engineer serves as an escalation point, performs root-cause analysis, monitors platform health, and partners with cross-functional teams.

Designs and develops enterprise-scale cloud-native platforms, APIs, integrations, automation workflows, and event-driven services supporting predictive and autonomous resiliency. Builds AI-enabled agents, resiliency validation, policy enforcement, observability, and evidence-collection capabilities. Partners with SREs, architects, product owners, and engineering teams; contributes to architecture decisions, code reviews, testing, production support, and mentoring while improving reliability and operational efficiency.

Design, deploy, and maintain secure, scalable cloud infrastructure across AWS/Azure/GCP. Build IaC with Terraform/CloudFormation/Bicep, automate deployments and CI/CD, script with Python/PowerShell/Bash, monitor and troubleshoot cloud environments, apply security and governance, and collaborate with teams to deliver cloud solutions and documentation.

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.

Engineer and support secure, scalable hybrid cloud environments for a DoD customer using Azure and AWS. Responsibilities include cloud architecture, systems engineering, requirements analysis, automation, Infrastructure as Code, DevSecOps, CI/CD pipelines, troubleshooting, customer advisory services, and technical documentation. The role requires expertise in DoD cloud governance, security, system administration, container platforms, enterprise networks, and cloud-native services.

Architect, implement, secure, and optimize scalable AWS cloud infrastructure across multiple classification domains. Lead cloud governance, automation, monitoring, risk management, and architecture efforts while translating requirements into solutions. Mentor cloud engineers, troubleshoot complex infrastructure issues, prepare operating instructions and training, and collaborate with technical and non-technical stakeholders. The role requires extensive AWS expertise, infrastructure-as-code, cloud security, containerization, scripting, and active TS/SCI clearance with CI Polygraph.