Top Cloud Engineer Jobs

Designs, deploys, and maintains secure AWS and Azure cloud infrastructure. Responsibilities include Infrastructure as Code, automation, cloud migration, Tier 3 troubleshooting, CI/CD, identity and access management, security compliance, monitoring, cost optimization, documentation, and technical mentorship. The role supports enterprise hybrid-cloud environments and Federal/DoD mission requirements.

Manage, administer, support, and improve AWS cloud environments and Army integrated systems. Troubleshoot cloud infrastructure and CI/CD issues, develop enterprise cloud-native solutions, automate deployments, and resolve networking, compute, storage, and memory problems. The role requires collaboration, independent problem-solving, mentoring, a Secret clearance, and an approved security certification.

Design, build, and maintain AWS cloud infrastructure across development, testing, and production environments. Implement Infrastructure as Code with OpenTofu or Terraform, manage configuration through Ansible, and operate Kubernetes-based applications. Develop Python automation, support Git-based CI/CD workflows, architect core AWS services, and implement monitoring, logging, security, and compliance practices aligned with STE/STN standards.

Designs, deploys, secures, automates, and maintains Azure infrastructure supporting federal data, analytics, application, and AI/ML workloads. Manages networking, identity, CI/CD, monitoring, infrastructure as code, cost optimization, disaster recovery, and compliance. Troubleshoots cloud environments and partners with data, software, cybersecurity, architecture, and government teams in Agile delivery settings.

Designs, builds, and supports secure, scalable Microsoft Azure infrastructure for cloud, data, and AI initiatives. Responsibilities include implementing Terraform-based Infrastructure as Code, supporting cloud migration and modernization, managing IAM, networking, encryption, monitoring, CI/CD, DevSecOps, and disaster recovery, and partnering with data and AI teams. The role also supports Microsoft Fabric, data lake, and Azure data platform environments while troubleshooting performance and infrastructure issues.

Lead the design and hands-on implementation of a multi-tenant SaaS distributed ecosystem spanning cloud, on-premise gateways, and edge devices. Partner with architects, develop scalable Node.js backend services and BFF layers using REST and gRPC, manage infrastructure and deployment, and ensure availability, observability, security, and end-to-end ownership. The role also requires occasional React development and leadership through coding standards and technical execution.

Develops and governs enterprise cloud frameworks, standards, tooling, policies, reference architectures, roadmaps, and engineering assets. Advises executives and technology leaders on long-term cloud strategy, ensures regulatory and enterprise compliance, and collaborates with vendors and stakeholders. Requires strong Azure expertise, including PaaS, IaaS, networking, monitoring, security, and hub-and-spoke architecture, plus Windows, Linux, and networking fundamentals. The role requires substantial experience and ability to attain DHS EOD clearance.

Designs, deploys, and maintains cloud infrastructure for mission-critical government workloads. Implements Infrastructure as Code, manages cloud identity, networking, security, containers, and CI/CD operations. Monitors systems, troubleshoots incidents, supports patching and configuration management, maintains STIG compliance, and assists with vulnerability remediation. Participates in Agile delivery, documents runbooks and infrastructure decisions, and collaborates with senior engineers, security teams, and government personnel.

Designs, deploys, secures, automates, and maintains AWS cloud infrastructure. Responsibilities include managing AWS services, implementing Terraform or CloudFormation, optimizing performance and costs, configuring networking, monitoring logs, troubleshooting incidents, supporting development teams, documenting procedures, and participating in on-call response. Requires hands-on AWS administration experience, scripting, infrastructure-as-code, security knowledge, and an active Secret clearance.

Assesses AWS, Azure, and hybrid cloud architectures, DevSecOps pipelines, infrastructure-as-code, automation, and cybersecurity controls. Evaluates IAM, vulnerability management, SIEM, incident response, compliance with FedRAMP and NIST requirements, and modern integration patterns such as APIs, service meshes, and container orchestration. Identifies technical gaps, cost optimization opportunities, and modernization strategies for FEMA systems while recommending improvements that increase security, resilience, reliability, and delivery speed.

Designs, deploys, and manages Google Cloud infrastructure while integrating GCP with Teradata data warehouse systems. Builds Terraform infrastructure as code and CI/CD pipelines, monitors cloud performance, costs, and security compliance, troubleshoots infrastructure and data pipeline issues, and supports cloud modernization initiatives with data engineering and platform teams.

Owns the administration, engineering, optimization, and troubleshooting of the Genesys Cloud CX contact center platform. Responsibilities include outbound campaign strategy, Architect flows, ACD routing, telephony, integrations, reporting, workforce engagement, voice quality, compliance settings, and AI-enabled capabilities. The role partners with Salesforce, business, analytics, IT, carrier, vendor, legal, and contact center teams while creating documentation and supporting after-hours maintenance and critical incidents.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Build and automate secure Google Cloud capabilities for government environments. Develop infrastructure-as-code with Terraform, provision and govern GCP resources, deploy containerized workloads, and implement networking and cloud automation across environments. The role requires software engineering experience, Secret clearance, and the ability to obtain a DoD IAT Level II certification.

Develop and automate secure Microsoft Azure cloud capabilities for Department of Defense environments. Build software solutions, infrastructure as code, cloud provisioning processes, Azure Landing Zones, policies, and platform services using Terraform. Support cloud networking, containerization, security tooling, monitoring, and virtual desktop deployments. The role requires Secret clearance and the ability to obtain a DoD IAT Level II certification within 30 days.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

Lead the architecture, deployment, and operation of scalable multi-region cloud infrastructure across multiple providers. Build internal developer platforms, automate CI/CD and cloud operations, implement observability, security, reliability, incident response, and FinOps practices. Establish SLOs, optimize costs, manage production incidents, mentor engineering teams, and guide long-term infrastructure roadmaps. The role also supports high-throughput systems, distributed architectures, and potentially geospatial and geo-ML workflows.

Leads the design, implementation, administration, and support of enterprise systems, applications, hybrid infrastructure, Azure, and AWS cloud platforms. Manages identity, endpoints, Microsoft 365, certificates, networking, automation, security, monitoring, resiliency, migrations, and production troubleshooting. Develops infrastructure as code, technical standards, documentation, and recovery plans while mentoring technical staff and coordinating vendors and cross-functional initiatives.

Owns complex hybrid-cloud infrastructure operations across data centers, private and public clouds. Administers Linux and Windows systems, virtualization, networking, storage, backup, security, and monitoring. Develops production automation with Ansible, Terraform, Bash, Python, Git, and APIs; leads incident response, root-cause analysis, infrastructure changes, migrations, and modernization. Reviews engineering work, improves operational processes, documents standards, supports escalations, and provides technical guidance. The role includes on-call support, after-hours incident response, and up to 10% travel.

Lead the modernization and operation of Azure cloud platforms supporting application, AI, and data workloads. Design Azure PaaS, AKS, container, Databricks, and Snowflake environments; build self-service APIs, infrastructure-as-code, and CI/CD automation; implement identity, security, monitoring, and observability; and support engineering teams through troubleshooting, incident response, and reliability improvements.

Own and modernize the Terraform infrastructure ecosystem, build automated Azure DevOps CI/CD pipelines, and design resilient GCP foundations. The role standardizes infrastructure modules, manages Shared VPCs, IAM, Cloud SQL, Ansible configuration, and container or VM strategies. It also establishes IaC governance, mentors developers, improves observability and resilience, troubleshoots deployment issues, and participates in on-call support.

Designs, develops, automates, and sustains cloud infrastructure and CI/CD environments supporting mission-critical applications. Maintains AWS and Kubernetes platforms, Terraform infrastructure as code, Packer-built AMIs, Maven dependency management, cascading pipelines, autoscaling GitLab runner fleets, and highly available deployment environments. Requires six years of configuration management experience and an active TS/SCI clearance with polygraph.

Own and scale cloud infrastructure supporting machine learning and robotics teams. Design reliable distributed systems, build observability across monitoring, logging, and tracing, implement infrastructure as code, improve security and incident response, and optimize performance and cloud costs across AWS, GCP, and Azure.

Lead secure software and cloud platform engineering across design, development, testing, troubleshooting, automation, and operational stability. Build production solutions using Python, Terraform, and Azure; apply cloud architecture patterns for identity, networking, compute, and management. Lead architectural evaluations, vendor engagements, engineering communities, and adoption of AI-assisted development practices. Establish secure validation standards and coach teams on responsible AI use, cloud integrations, resiliency, and security.

Designs, automates, secures, and optimizes cloud infrastructure for distributed AI/ML training, high-performance computing, and low-latency inference. Responsibilities include cloud architecture, Terraform-based Infrastructure as Code, DevSecOps automation, monitoring system health and performance, and integrating AI solutions across multi-enclave, high-security environments.