Top Cloud Engineer Jobs

Develops and sustains cloud software for federal government customers, including requirements analysis, design, integration, testing, validation, enhancement, and issue resolution. The role focuses on AWS architecture, Java-based distributed systems, Hadoop and big-data technologies, RESTful services, Linux, Kubernetes, infrastructure as code, CI/CD, and AI/ML integrations such as LLMs and RAG. Candidates must produce technical documentation, hold or obtain an approved cloud developer certification, and maintain an active TS/SCI clearance with an agency-appropriate polygraph.

Architect and develop scalable SaaS, web APIs, SDKs, CLIs, and AI-assisted developer tools for coding, debugging, profiling, and CUDA optimization. Collaborate with Product, Design, and engineering teams to define features, improve cloud infrastructure, and deliver reliable services for concurrent developers. Mentor engineers and review code and designs while applying Kubernetes, AWS, infrastructure as code, DevOps, Python, virtualization, and GPU profiling expertise.

Design, automate, and deploy cloud infrastructure and hybrid solutions. Implement infrastructure-as-code, CI/CD integration, containerized deployments, migrate on-prem to public cloud (AWS), and build automation workflows using configuration management and scripting.

Engineer and support containerized and middleware application hosting solutions. Install, configure, and manage Docker and Cloud Foundry, automate builds/deployments with Jython/shell, integrate CI/CD (Jenkins), manage WAS/tcServer, troubleshoot production systems, and collaborate with application teams to design scalable, maintainable environments.

Designs and reviews cloud security architectures across AWS, Azure, GCP, and internet-facing environments. Partners with engineering, identity, network, application, and security teams to implement Zero Trust, IAM, segmentation, perimeter, encryption, monitoring, and other controls. Evaluates risks against security standards and regulatory frameworks, documents findings and exceptions, prioritizes remediation, and promotes secure-by-design practices and consistent cloud governance across multi-cloud deployments.

Design, develop, and maintain cloud-compliant SAP applications using ABAP Cloud and RAP. Build OData/APIs, CDS views, Fiori integrations, and clean-core S/4HANA extensions. Collaborate with functional teams, perform code reviews, optimize performance, and support testing, deployment, and production support.

Design, develop, test, and debug cloud infrastructure and solution components for intelligence systems. Collaborate on cloud architecture and DevOps to build zero-trust, containerized applications (Kubernetes), document systems in Visio/Cameo, draft cloud maintenance policy, and modernize legacy and new cloud-supported capabilities for DoD customers.

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.

As a Cloud Engineer, you will manage cloud infrastructure, collaborate on best practices, automate processes, and ensure service reliability for U.S. Federal Government contracts.

Engineer and support Azure and on-premises infrastructure, including Windows Server, Active Directory, identity management, monitoring, backups, disaster recovery, and security. Provide advanced technical support, manage ServiceNow incidents, monitor performance, perform root cause analysis, implement system improvements, document solutions, and contribute to infrastructure projects. The role requires PowerShell scripting, collaboration with vendors and internal teams, limited-direction work, and up to 10% travel.

Designs and operates secure, scalable cloud infrastructure and identity platforms across AWS and data centers. Builds IAM, authentication, authorization, SSO, MFA, provisioning, secrets, and key management solutions. Develops Terraform-based automation using Python or Go, supports Kubernetes services, implements Zero Trust controls, and improves reliability, observability, and developer experience. The role includes architecture reviews, cross-team technical leadership, mentoring, production support, incident response, and on-call participation.

Build and configure hybrid and multicloud network connectivity for Databricks on AWS GovCloud. Design VPC routing, private endpoints, VPNs, ExpressRoute, Direct Connect, and gateway connections linking AWS, Azure, SaaS platforms, and on-premises systems. Support identity-related routing, workspace provisioning, environment segmentation, monitoring, and logging. Collaborate with platform engineers, security teams, cloud architects, and stakeholders to develop reliable, observable integration designs.

Develop and operate cloud research infrastructure for scientific users, including AI-assisted configuration tools, LLM integrations, agent frameworks, retrieval pipelines, and OpenStack-based systems. Responsibilities include designing solutions, writing and testing code, deploying and maintaining infrastructure, implementing security controls, troubleshooting user issues, gathering requirements, evaluating AI tools, and contributing to academic research publications.

The Sr Systems Compute & Storage Engineer VP is responsible for managing Linux servers, enterprise storage, and VMware systems, ensuring operational efficiency and security compliance while driving automation and collaboration across 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.

Build and operate cloud infrastructure for mission-critical aviation systems, focusing on scalability, resilience, and deployment pipelines in a production environment.

As a Technical Lead Cloud Platform Engineer, you will architect and operate a cloud platform for aviation systems, lead a small team, ensure reliability, and manage incidents.

Designs, operates, administers, and optimizes large-scale Microsoft Azure IaaS and PaaS environments. The role focuses on enterprise Hub-and-Spoke networking, including VNets, subnets, private endpoints, and ExpressRoute, along with monitoring, alerting, troubleshooting, and root-cause analysis. The engineer partners with developers, testers, and program managers to improve cloud services and may manage server images, configuration state, security controls, Azure DevOps, and ServiceNow workflows.

Design, build, deploy, and scale distributed cloud systems for NVIDIA GeForce NOW. Develop backend services and microservices, optimize reliability and performance, drive automation, monitoring, and infrastructure improvements, and build scalable test harnesses. Influence architecture and technology choices while collaborating across teams, mentoring engineers, and promoting technical excellence and operational ownership.

Designs, builds, and operates scalable multi-cloud infrastructure and platform services across AWS, Azure, and OCI. Authors infrastructure as code, automates provisioning and governance, manages enterprise Kubernetes and OpenShift environments, and enables GitOps delivery. Supports data and integration platforms, observability, reliability, incident response, and FinOps. Partners with security, network, application, data, and business teams; produces technical documentation, mentors engineers, reviews designs and code, manages vendors, and leads smaller delivery efforts.

Software Engineer Interns will help develop, test, and operate integrated cloud services supporting AI-powered hardware products. Responsibilities include collaborating with hardware, AI, platform engineering, and infrastructure teams; contributing to AI assistant and conference room device projects; solving software problems independently and collaboratively; and communicating across teams to deliver reliable solutions.

Design, build, secure, and operate AWS and GovCloud infrastructure using Terraform, EKS, Kubernetes, networking, IAM, and CI/CD automation. Troubleshoot connectivity, load balancing, DNS, certificates, and microservices across cloud and hybrid environments. Support FedRAMP, ATO, RMF, audit evidence, change control, migrations, observability, and compliance remediation. Collaborate with application, security, network, and program teams while mentoring junior engineers and developing operational documentation, runbooks, and playbooks.

Design, build, and support secure, highly available cloud environments across AWS/Azure/GCP. Implement landing zones, networking, IAM, and security baselines; provision compute/storage/databases via IaC; develop CI/CD and DevSecOps pipelines; containerize and orchestrate applications; configure observability and SRE practices; produce FinOps reports and technical documentation.

Architect and manage cloud environments in classified regions using infrastructure-as-code and automation. Build and maintain ETL/ELT pipelines integrating security, vulnerability, event, and log data across ACAS, Elastic, and Splunk. Implement data quality, normalization, enrichment, governance, security, and compliance controls. Optimize ingestion and automate workflows, troubleshoot integrations, maintain schemas and documentation, and support dashboards and visualizations. Collaborate with cybersecurity teams to deliver scalable data solutions.