Top Cloud Engineer Jobs

Design, implement, and govern cloud cybersecurity architecture across multiple domains. Automate Continuous Authorization to Operate (CATO), evaluate changes against RMF/STIG, support A&A and DevSecOps pipeline security, and mentor team members. Collaborate with cloud infrastructure teams using Agile practices to ensure continuous monitoring, verification, and compliance of cloud solutions.

Manage and secure the organization's Azure and Microsoft 365 infrastructure, automate provisioning with PowerShell/Terraform, administer identity and endpoint services (Entra ID, Intune), monitor and respond to security/performance alerts, support backups and disaster recovery, configure network/security services and Cisco Meraki, participate in on-call rotation, and lead infrastructure improvement projects.

Support a U.S. Government customer by researching, developing, installing, integrating, evaluating, enhancing, testing, validating, sustaining, and troubleshooting cloud-based mission software and systems. Perform requirements analysis and provide engineering services for cloud, big data, and analytics solutions in an Agile environment.

Design, build, and support automation and tooling to enable secure, compliant self-service in AWS. Provide IAM/security policy implementation, CI/CD and deployment automation, operational support, and technical guidance to application teams.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Operate and secure mission-critical cloud environments: monitor availability and security, resolve Tier 1-3 incidents, provision tenant AWS resources, administer Linux/Windows/AD, manage containers and Kubernetes, automate infrastructure with Bash/Ansible/Terraform, support DevSecOps pipelines, troubleshoot network/platform issues, and maintain operational documentation. Requires occasional weekend/holiday coverage.

Designs, builds, and operates GenAI cloud platforms across Azure, AWS, and Google. Develops self-service tools, CI/CD pipelines, and Terraform IaC. Troubleshoots performance and availability, automates deployments, supports developer adoption of LLMs and AI services, and leads postmortems and scalability planning.

Lead design and delivery of agentic AI systems and LLMOps on AWS to generate, validate, and deploy infrastructure-as-code (Terraform). Build multi-agent applications, RAG pipelines, and AIOps for cloud operations; integrate AI into CI/CD and ITSM. Set technical direction, establish guardrails/policy-as-code, curate reusable Terraform modules, and mentor engineering teams.

Design, build, and operate scalable cloud networking and service mesh infrastructure on AWS/EKS. Lead traffic management, service discovery, Istio/Envoy deployments, API/versioning standards, IaC with Terraform, and developer tooling in Python/Go while partnering with security and application teams and mentoring engineers.

Build and maintain infrastructure automation, integrations, and SRE tooling. Develop backend services, infrastructure-as-code, observability, and provisioning for bare metal, VMs, and Kubernetes. Collaborate with hardware, software, and AI teams, drive operational excellence, and provide technical leadership.

Develop cloud-native, enterprise SaaS applications on Microsoft Azure. Implement REST APIs, SPAs, microservices, messaging, databases, CI/CD, and unit tests. Collaborate on architecture, design, testing, release, and operations; produce technical documentation and follow development standards.

Design, implement, and maintain Azure solutions; collaborate with DevOps and enterprise teams; produce technical design and deployment documents; mentor junior engineers; integrate observability and CI/CD; ensure Azure best practices, networking, security, and identity management; support Azure adoption and drive process improvements.

Design, implement, and manage cloud solutions for NNSA missions. Build IaC and automation (Python, Terraform/CloudFormation/CDK), migrate and optimize workloads, monitor performance, ensure DOE/NNSA and NIST compliance, provide support/training, and collaborate across teams. On-site position with occasional travel; senior level responsibilities and advanced cloud/AI/ML platform expertise required.

The Staff Cloud Infrastructure Engineer is responsible for designing, automating, and managing cloud infrastructure using AWS and tools like Terraform. This role involves collaborating with engineering teams, ensuring security, and mentoring others, all while building reliable and scalable systems.

Design, implement, and manage secure, scalable multi-cloud infrastructure across AWS and Azure. Lead IaC automation with Terraform, enforce enterprise governance, optimize costs, and ensure backup, DR, HA, and identity/IAM controls. Monitor performance and security, collaborate with cross-functional teams, provide migration guidance, maintain documentation, and support capacity planning and cloud operational excellence.

Design, implement, and manage secure, scalable multi-cloud infrastructure across AWS and Azure. Lead IaC automation with Terraform, enforce enterprise governance (AWS Organizations, Azure Management Groups), optimize costs, ensure backup/DR and high availability, monitor performance/security, and collaborate with cross-functional teams to support cloud migrations and operational excellence.

Design, build, and maintain cloud-native applications and platform services on AWS. Implement IaC and CI/CD, containerize workloads, troubleshoot infrastructure and deployments, collaborate with Agile teams, and ensure scalability, reliability, security, and cost efficiency.

Build and maintain large-scale cloud simulation infrastructure across AWS, GCP, and Azure. Improve deployment reliability, monitor and resolve bottlenecks, optimize CI/CD and developer tooling, and ensure interoperability with customers' autonomy software.

Design, build, and operate a unified cloud-native compute and network platform. Lead Kubernetes-based orchestration and large-scale Istio service mesh deployments on AWS, implement VPC/networking and traffic management (gateways, load balancers, CDN), and collaborate with engineering teams to improve scalability, reliability, and platform governance.

Own and maintain the cloud database platform: monitor and troubleshoot cloud (AWS) MySQL/Postgres databases, optimize performance and scalability, collaborate on architecture, support development teams, build operations tooling, and evaluate emerging database technologies.

Design, develop, and maintain scalable, secure cloud backend services. Collaborate with cross-functional teams, optimize performance and cost, implement security best practices, containerize and deploy with CI/CD, troubleshoot issues, and participate in code and design reviews.

Lead quality initiatives for cloud platform projects: define test strategies, design and automate tests for microservices and APIs, validate backend systems, integrate testing into CI/CD, execute performance and resiliency testing, mentor junior engineers, and drive continuous improvements in testing practices.

Design, build, and evolve cloud-native storage platforms for distributed databases and large-scale data services. Implement data placement, sharding, replication, backup/recovery, observability, and automation using Ansible, Terraform, Go, and Python. Collaborate with DBA, SRE, and platform teams to optimize performance, reliability, and operational workflows across distributed storage systems.

Design, build, and operate scalable, secure cloud-native infrastructure and production Kubernetes platforms. Manage multi-account AWS environments with IaC (Terraform), run GitOps deployments, maintain Istio service mesh, implement reliability practices (SLOs, monitoring, incident response), troubleshoot production issues, automate CI/CD and operational workflows, and participate in on-call rotation while collaborating with cross-functional teams.

Design, develop, and maintain scalable, secure cloud-native backend services. Optimize performance, implement CI/CD and infrastructure automation, integrate with frontend and middleware, troubleshoot issues, participate in code reviews, and mentor junior engineers.