Top Cloud Engineer Jobs

Design, build, and operate a scalable, secure cloud data platform (Lakehouse) using Databricks/Snowflake on Azure/AWS. Implement IaC, CI/CD, automation, governance, monitoring, cost optimization, and self-service tooling while partnering with architects, data teams, and security to support analytics and AI workloads.

Design, build, maintain and scale hybrid, geographically redundant hosting environments. Automate OS, database and application deployments, troubleshoot app/db/OS issues, support customer onboarding and product support processes, participate in 24/7 on-call, and develop process automation and monitoring.

Deploy, document, and support software-defined infrastructure (SDI) solutions (Azure, VMware, OpenStack). Perform Linux system administration, patching, storage and network configuration, automation with scripting and tools (Ansible/Chef/Cobbler/Foreman), troubleshooting, and produce documentation and demos for sales/marketing.

Analyze and document existing applications to define technical and business attributes for migration. Develop migration strategies, classify applications for reuse or modernization, and guide cloud deployment, virtualization, and containerization decisions. Collaborate with teams and lead design documentation for a large data center-to-cloud migration.

Develop and maintain automation/orchestration in a private cloud environment (VMware vRealize). Integrate automation with external systems and CI/CD pipelines to enable fully automated dev-to-production releases. Support, operationalize, and document virtual infrastructure lifecycle and distributed automation solutions; perform on-call duties as required.

Build and maintain Grafana Cloud integrations and observability features across frontend (TypeScript/React), backend (Golang), and monitoring mixins (Jsonnet). Ship end-to-end features, own projects to production, contribute upstream to OpenTelemetry/Prometheus, run on-call for owned services, and communicate designs and demos across teams.

Design, implement, and manage secure, scalable cloud services for mission systems. Build automated, repeatable deployments with IaC and monitoring, optimize performance/cost, integrate automation and AI/ML capabilities, and support operational reliability and security.

Design, build, test, and deploy SFMC email and phone campaign journeys, CloudPages, data integrations (Databricks), segmentation, and automations. Perform end-to-end QA, troubleshoot integrations and deliverability, monitor performance, and maintain governance, templates, and runbooks while coordinating deployments and cross‑functional stakeholders.

Manage and maintain the client9s self-hosted ServiceNow platform in an AWS government cloud environment. Perform OS and ServiceNow upgrades/patches, ensure platform stability for application servers, MID servers, load balancers, databases, and external integrations, and support ongoing platform operations for the Northern Virginia client.

Lead end-to-end SAP Analytics Cloud front-end development: gather requirements, design, build, optimize, test, deploy, and support reports. Define analytics strategy and roadmap, align BI with business stakeholders, manage budgeting and staffing, grow and mentor the analytics team, establish governance and best practices, and oversee SAP/non‑SAP integrations while monitoring SAP product roadmap.

Manage and maintain the client's ServiceNow environments in the AWS Government cloud. Deploy and operate cloud infrastructure using Terraform and AWS, ensure platform stability and external connections, automate tasks with scripting (Ansible, Bash, Python, JavaScript), and comply with government cloud and security requirements.

Design, implement, and manage secure, scalable cloud environments. Architect multi-cloud and hybrid solutions, automate provisioning with IaC, configure networking and security, implement monitoring/logging, optimize cost and autoscaling, and design disaster recovery and governance.

Design, build, and maintain large-scale batch and real-time data pipelines on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub). Migrate legacy ETL to cloud-native architectures, optimize query and pipeline performance, enforce data governance and security, and implement automated CI/CD for deployments while collaborating with cross-functional teams.

Provide Tier 1-3 cloud infrastructure support: monitor environments, provision tenant VPCs, configure roles and access, maintain secure operations, automate with IaC/tools, escalate issues, and contribute to operational deliverables and performance metrics.

Design, provision, and secure scalable multi-cloud environments using IaC and service catalogs. Implement least-privilege IAM, policy-as-code, serverless and event-driven architectures, cloud-native security, and CI/CD to ensure operational reliability and accelerate team onboarding.

Design, operate, and optimize cloud platforms in a government hybrid Azure environment. Ensure reliability, availability, and performance of PaaS/IaaS services, support deployments, resolve platform-to-application integration issues, develop cloud reference architectures and roadmaps, and mentor junior staff. Collaborate with stakeholders to align cloud strategy with business goals and support ML, data visualization, and event-driven architectures.

Provide Tier 1-3 cloud infrastructure support: monitor operational environments, provision Tenant VPCs, configure roles and access, perform maintenance, escalate service requests, and contribute solutions and deliverables across DevSecOps operations.

Design, build, and operate a secure cloud-native platform: implement CI/CD pipelines, container orchestration, IaC automation, and compliance (DISA STIGs); support developers with containerized deployments, disaster recovery, monitoring, and platform security across hybrid clouds.

Design, implement, and manage secure, scalable cloud services for mission systems. Build IaC-driven deployments, automate operations, integrate automation and AI/ML services, optimize performance and cost, and monitor and resolve issues across cloud environments to support federal mission requirements.

Design, implement, and maintain secure cloud infrastructure and CI/CD pipelines for AWS/ hybrid environments. Build IaC (Terraform/Ansible/CloudFormation), automate deployments with scripting (Bash/Python/PowerShell), enforce security controls and compliance (NIST, DISA STIGs, FedRAMP), monitor systems, and troubleshoot across the stack to support national security missions.

Serve as the liaison between cloud platform and application teams to establish FinOps governance across AWS/Azure/GCP. Drive cost optimization (commitments, rightsizing), design automated remediation tools (Python, Terraform, Cloud APIs), build dashboards (Power BI, Tableau, Grafana), and advise on cloud-native refactoring to improve efficiency and cost-effectiveness.

Support and maintain government hybrid cloud environments on Azure. Assist in provisioning, configuration, monitoring, and troubleshooting cloud infrastructure (compute, storage, networking, security). Collaborate on architecture, platform integration (PaaS/IaaS), develop reference architectures, respond to support tickets, and participate in maintenance under senior engineer guidance.

Assess existing infrastructure and plan, deploy, and maintain application and data migrations to AWS and other cloud platforms. Support environment deployment, manage AWS government resources, and ensure security requirements are met.

Design, build, and maintain scalable GCP data architectures and ETL/ELT pipelines (batch and streaming) using BigQuery, Dataflow, Apache Beam, Cloud Storage, and Pub/Sub. Implement performance tuning, data quality and governance, secure access controls under federal requirements, and automated CI/CD for deployments. Collaborate with data scientists and infrastructure teams to modernize legacy systems and optimize data models for mission use.

Design, implement, and maintain secure cloud infrastructure and applications using IaC and CI/CD. Build automation scripts, manage AWS environments, enforce NIST/DISA/FedRAMP compliance, implement security controls (IAM, encryption, network), containerize and orchestrate workloads, automate deployments and monitoring, troubleshoot across the stack, and collaborate with development teams to adopt DevSecOps practices.