Top Cloud Engineer Jobs

Build and operate secure AWS and Kubernetes platforms using infrastructure as code and GitOps. Develop CI/CD pipelines, hardened container images, automated security scanning, and artifact promotion into air-gapped environments. Remediate infrastructure and container security findings, support ATO/RMF activities, and provide Tier 1–3 platform support. The role requires cloud infrastructure, Kubernetes, automation scripting, security certification, and an active Top Secret clearance with willingness to undergo a polygraph.

Drive technical discovery, gap analysis, and security architecture validation for Google Cloud, Google Workspace, and ServiceNow GCC-High ATO modernization. Evaluate environments against NIST SP 800-53 Revision 5, DoD IL-4, and FedRAMP requirements; identify control gaps and risks; validate inherited and shared responsibilities; collect technical evidence; and develop accurate RMF control narratives and reports. The role also performs human validation of AI-assisted technical content and supports cohesive authorization packages.

Design, build, automate, and operate secure, scalable cloud infrastructure and production platforms. Develop automation, APIs, and engineering tools; maintain Infrastructure as Code and CI/CD pipelines; operate Kubernetes workloads; improve observability, reliability, and security; troubleshoot complex production incidents; and participate in incident response and the full software delivery lifecycle.

Designs and governs secure multi-cloud foundations across AWS, Azure, GCP, and OCI. Responsibilities include cloud onboarding, landing zones, IAM and policy management, security controls, compliance audits, vulnerability remediation, Infrastructure-as-Code automation, CI/CD pipelines, and cloud cost optimization. The role also partners with engineering and security teams, addresses customer infrastructure needs, and mentors other engineers.

Design, deploy, administer, secure, monitor, and troubleshoot enterprise AWS cloud infrastructure. Automate provisioning and operational workflows using IaC, scripting, Git, and DevOps practices. Support Windows and Linux environments, virtualization, containers, networking, monitoring, auditing, cost optimization, and complex application infrastructure. Use AI-assisted tools and LLMs for engineering productivity, maintain technical documentation, and participate in occasional after-hours maintenance and onsite activities.

Supports and sustains mission-critical private cloud and virtualized infrastructure for government systems. Responsibilities include production troubleshooting, monitoring, upgrades, patching, lifecycle management, ITIL incident and change processes, automation scripting, technical documentation, cross-functional collaboration, and 24x7 on-call support. The role requires Linux, VMware, enterprise storage, backup, cloud infrastructure, and automation experience, along with an active Secret clearance and U.S. citizenship.

Provides end-to-end cloud services engineering and customer support across hybrid cloud infrastructure. Responsibilities include incident and problem resolution, troubleshooting, capacity and performance management, cloud administration, virtualization, containers, automation, networking, ITSM, security compliance, and solution optimization. The role requires customer communication, collaboration with engineering teams, documentation, mentoring, on-call flexibility, and onsite work at least 25% of the time.

Designs and operates secure, scalable cloud infrastructure for AI/ML workloads in classified, multi-enclave environments. Responsibilities include optimizing cloud compute, storage, and networking; automating infrastructure through Terraform and DevSecOps; integrating public clouds with on-premises hyperconverged and GPU systems; managing Kubernetes-based platforms; supporting high-availability mission-critical applications; and implementing secure data and model governance. The role also establishes development standards and leads technical initiatives across teams.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Designs and operates secure, scalable cloud infrastructure for AI/ML workloads in classified, multi-enclave environments. Builds hybrid cloud and on-premises architectures, automates infrastructure with IaC and DevSecOps, manages Kubernetes and OpenShift platforms, integrates GPU and hyperconverged systems, and optimizes cloud networking, storage, databases, monitoring, security, and cost. Supports high-availability distributed training and inference applications while establishing technical standards and governance across teams.

Designs, develops, implements, and manages infrastructure and cloud technology solutions. Collaborates with business partners, engineers, support teams, vendors, and management to gather requirements and deliver secure, scalable systems. Responsibilities include architecture, systems integration, testing, troubleshooting, technology standards, risk controls, documentation review, and mentoring junior staff. The role requires expertise in AWS, Windows Server, Red Hat Linux, Terraform, Ansible, YAML, infrastructure lifecycle management, and enterprise technology practices.

Support secure AWS platform operations for Department of War customers, including monitoring, logging, access control, patching, backups, configuration management, ticket resolution, scripting, automation, and Infrastructure as Code. Assist with workload onboarding, deployment standardization, documentation, and DoD security compliance while developing cloud engineering ownership under senior guidance.

Build and operate secure AWS GovCloud infrastructure for a mission-critical federal disability claims platform. Responsibilities include infrastructure as code with Terraform and Terragrunt, containerized workloads on ECS and Fargate, CI/CD pipelines, monitoring, incident response, networking and IAM troubleshooting, security remediation, ATO support, documentation, and reliability, performance, and cost improvements.

Architects, implements, and maintains enterprise Data Loss Prevention solutions across endpoint, network, email, and cloud environments. Responsibilities include configuring DLP policies, detection servers, network scans, CASB integrations, TLS encryption, firewalls, proxies, and authentication systems. The role also troubleshoots production traffic and data-loss issues, automates security procedures, develops incident response workflows, performs health checks and upgrades, and fine-tunes detection rules to reduce false positives and identify suspicious activity.

Designs and operates cloud security guardrails across AWS, GCP, and Azure. Responsibilities include secure architecture, IAM, network segmentation, encryption, secrets management, IaC and CI/CD security, automation, CSPM, logging, detection, incident response, and compliance evidence. The role requires hands-on DevOps or platform experience, production security across multiple cloud providers, coding and scripting, Terraform or OpenTofu, and strong collaboration with engineering teams.

Designs and leads cloud platform products, automation tools, CI/CD pipelines, DevOps tooling, and AWS account provisioning. Owns infrastructure development from ideation through production monitoring, improves engineering processes, manages security controls and incident response, and ensures maintainability, performance, and observability. Serves as a cloud platform subject matter expert, leads complex initiatives, collaborates across teams, documents systems, and mentors junior engineers.

Provides customer-facing presales cybersecurity expertise, including cloud security architecture assessments, solution design, technical presentations, demonstrations, proof-of-concept support, and proposal development. The role supports sales teams, collaborates with technology partners, delivers internal security training, creates technical documentation and statements of work, and transitions closed opportunities to delivery teams. Focus areas include CNAPP, identity governance, hybrid cloud security, endpoint protection, data protection, and security operations.

Designs, develops, integrates, and supports enterprise Oracle Cloud Financials solutions across Procurement, AP, AR, Collections, and GL. Leads financial systems enhancements, integrations, production troubleshooting, reporting, testing, deployments, monitoring, and cross-functional projects. Translates finance and accounting requirements into secure, scalable solutions using Oracle Cloud technologies, mentors engineers, supports audits and month-end close, and applies automation and AI to improve operational efficiency.

Designs, deploys, secures, monitors, and troubleshoots Azure infrastructure and services. Manages virtual machines, databases, networks, backups, disaster recovery, cost optimization, and infrastructure as code using Terraform and Azure DevOps. Supports secure cloud migrations, SQL Server environments, automation, incident response, and after-hours PagerDuty rotations while collaborating with development, operations, and cybersecurity teams.

Designs, builds, automates, and optimizes enterprise cloud data pipelines and platforms. Responsibilities include ETL/ELT, DataOps, CI/CD, data migration, data modeling, data warehousing, lakehouse architecture, database administration, performance tuning, and production support. The role uses Databricks, Azure services, PySpark, SQL, and multiple cloud platforms to deliver scalable structured and unstructured data solutions.

Develop and operate Airbnb’s large-scale cloud infrastructure platform, including Kubernetes, developer APIs and CLIs, autoscaling, capacity management, and cloud automation. Build secure, reliable, scalable, and highly available distributed systems using public cloud technologies. Optimize existing infrastructure, improve performance and operational efficiency, troubleshoot production systems, and collaborate across engineering teams and open-source communities.

Design, operate, and evolve production GCP infrastructure, including GKE clusters, networking, IAM, shared services, and Terraform automation. Troubleshoot complex Kubernetes, Linux, networking, DNS, and distributed-systems issues; improve observability, security, scalability, reliability, and cost efficiency. Lead upgrades, migrations, architecture improvements, technical reviews, and mentorship while partnering with Platform Engineering, SRE, and Security teams.

Designs, deploys, and manages Microsoft 365 cloud infrastructure, including Exchange Online, SharePoint, Teams, and OneDrive. Monitors service performance, implements identity, security, compliance, and data protection controls, resolves technical issues, documents solutions, and trains users. Collaborates with internal teams, external partners, and stakeholders on new initiatives, endpoint management policies, workflow automation, and operational improvements.

Administer and optimize AWS cloud infrastructure while developing Python applications, REST APIs, and AI solutions. Automate deployments with Terraform and CI/CD, implement security and disaster recovery practices, monitor systems, troubleshoot complex infrastructure and application issues, and support secure production operations. The role also involves database integration, code reviews, technical documentation, mentorship, on-call participation, and continuous improvement across cloud and software development environments.

Administer and optimize AWS cloud environments using Terraform while developing and deploying Python-based AI applications. Responsibilities include infrastructure provisioning, monitoring, troubleshooting, security, access management, backups, API integration, testing, Git-based development, and automation. The role collaborates with senior engineers and AI Operations teammates to improve cloud reliability, application functionality, security, and operational efficiency.