Top Cloud Engineer Jobs

Designs, deploys, operates, secures, and optimizes scalable AWS cloud solutions in a multi-cloud federal environment. Responsibilities include cloud strategy, DevOps adoption, infrastructure as code, automation, CI/CD, cloud networking security, IAM, compliance, modernization, containerization, microservices, and zero-trust architecture. Supports full solution lifecycles and provides technical guidance and mentorship to engineering teams.

Deploys, automates, maintains, and troubleshoots secure Microsoft Azure infrastructure in mission-critical enclave environments. Responsibilities include Azure DevOps CI/CD, Terraform/Bicep/ARM IaC, Azure Virtual Desktop image management, IAM, Windows services administration, PowerShell automation, monitoring, security, documentation, and escalation support. Collaborates with engineering, cybersecurity, development, and operations teams to modernize cloud environments.

Architects, deploys, and operates enterprise Kubernetes platforms across hybrid AWS and Azure environments. Supports containerized and virtualized workloads with KubeVirt, builds observability and DevSecOps capabilities, automates infrastructure through Terraform or Ansible, and manages GitOps workflows using Argo CD and Helm. Leads cloud modernization, governance, networking, security, compliance, and troubleshooting for bare-metal and hybrid clusters. Provides technical leadership through mentoring, design reviews, and cross-functional collaboration.

Provide SETA support for U.S. Government cloud R&D programs. Design, architect, manage, secure, and optimize cloud environments across multiple providers and classification levels. Recommend cloud adoption, development, migration, and solution architecture strategies; support researchers with cloud integration and problem resolution; and contribute to AI/ML research and organizational innovation. Requires extensive cloud engineering experience, systems knowledge, UNIX and Windows expertise, Python and Jupyter Lab experience, and an active TS/SCI clearance with polygraph.

Leads the architecture, development, and deployment of high-throughput, cloud-native microservices supporting credit and market risk platforms. Designs distributed systems, event-driven services, APIs, data architectures, and CI/CD pipelines while optimizing scalability, concurrency, latency, and resiliency. Applies AI-assisted engineering tools, establishes quality and observability standards, mentors engineers, and partners with quantitative analysts, risk managers, and architects to deliver real-time risk analytics and maintain governance controls.

Owns UpSwell’s Azure environment and leads migration from private cloud infrastructure to Microsoft Azure. Responsibilities include Azure architecture, infrastructure management, reliability, monitoring, security, CI/CD, infrastructure as code, automation, cost optimization, vendor coordination, documentation, and on-call incident response. The role partners with technical and business stakeholders to modernize infrastructure, improve scalability, minimize disruption, and establish secure, reliable cloud operations.

Develop and enhance cloud-based web applications for data tracking, metrics, approval workflows, and compliant data movement. Collaborate with customers, systems engineers, and developers on requirements, design documents, demonstrations, integration, testing, and product evaluation. Participate in Agile ceremonies, manage Jira tickets, and apply software engineering standards and best practices. The role requires extensive software development experience, AWS-related certification, and an active TS/SCI clearance with current polygraph.

Designs, implements, and manages hybrid and multi-cloud network infrastructure across GCP, AWS, Azure, OCI, and on-premises environments. Responsibilities include cloud and VPC architecture, Cisco and Palo Alto networking, F5 load balancing, BGP and OSPF routing, LAN/WAN/Wi-Fi/SD-WAN deployment, network automation, monitoring, troubleshooting, high availability, capacity planning, DNS management, and security integration.

Designs and maintains cloud security controls across AWS and Azure, including Terraform and Python automation, posture hardening, and account guardrails. Owns vulnerability management, detection tuning, SIEM and log-ingestion pipelines, container scanning, and incident response participation. Partners with engineering and product teams on architecture, authentication, application security, and code reviews. Supports FedRAMP and other compliance programs through documentation, evidence collection, monitoring, training exercises, and customer security questionnaires.

Design, develop, configure, optimize, and support Oracle Cloud HCM Fast Formulas across HCM modules. Collaborate with business and technical stakeholders to translate requirements into scalable solutions, troubleshoot formula issues, support integrations and reporting, document technical processes, and promote development and deployment best practices.

Owns and evolves a Google Cloud application and data platform spanning infrastructure, deployments, Kubernetes, data pipelines, BigQuery, security, observability, and reliability. Builds CI/CD and infrastructure-as-code automation, manages data quality and governance, leads incident response, and supports scalable production operations. Collaborates with engineering, security, analysts, and business stakeholders while using AI and developing AI agents to automate workflows and improve delivery efficiency.

Designs, integrates, and maintains scalable cloud-based systems and services. Responsibilities include cloud architecture, systems integration, verification and validation, requirements analysis, monitoring distributed systems and virtual machines, performance optimization, and resolving functionality, configuration, and integration issues.

Designs and improves identity and access management, authentication, privileged access, cloud security, and Zero Trust capabilities. Develops security automation and integrations, evaluates applications and cloud services, and provides hands-on security engineering support for enterprise initiatives. Collaborates with technology and business partners to implement secure identity solutions across organizational systems.

Designs, builds, and maintains scalable AWS and on-premises data pipelines supporting genomic data science models. Responsibilities include API ingestion, storage, transformation, data modeling, workflow development, troubleshooting, documentation, infrastructure-as-code, and cross-functional collaboration. The role requires hands-on AWS pipeline development, HPC experience, container orchestration, Python and SQL expertise, CI/CD, secure access management, and production data engineering leadership in a consulting environment.

Operate and support AWS GovCloud environments, including deployment, monitoring, patching, incident response, troubleshooting, security compliance, change management, documentation, audits, and cost optimization. The engineer will administer Windows and/or Linux servers, coordinate with internal and vendor teams, improve operational processes through automation, manage projects independently, and participate in a rotating on-call schedule.

Manages AWS GovCloud infrastructure, including deployment, administration, monitoring, patching, troubleshooting, incident response, change management, security compliance, and cost optimization. The role supports Windows and Linux servers, investigates infrastructure and application issues, maintains operational documentation, coordinates with internal and vendor teams, supports audits, implements automation and process improvements, and participates in a rotating weekly on-call schedule.

Develops, tests, optimizes, and supports Oracle Cloud HCM Fast Formulas across HCM modules. Translates business requirements into technical solutions, troubleshoots formula and configuration issues, supports integrations and reporting, maintains technical documentation, and participates in unit, system integration, user acceptance, and production testing. The role collaborates with functional, technical, and business stakeholders to deliver scalable and compliant HCM solutions.

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.