Top Cloud Engineer Jobs

The role requires leading solution/system testing in networking and virtualization, contributing to projects in Agile development, and extensive knowledge in cloud technologies.

As Lead MQ Engineer, you'll modernize the messaging ecosystem, design and operate IBM MQ platforms, automate deployments, and ensure scalability and reliability of messaging services.

The Senior Cloud Engineer will lead architecture and implementation of web applications, mentor junior developers, and establish development best practices.

The Cloud Platform Engineer will design and implement cloud infrastructure, automate deployments using Terraform and Argo, develop serverless applications, and collaborate with teams to maintain robust cloud services.

Support and administer Azure-centric cloud networking for a large Epic deployment. Ensure secure, reliable connectivity between Quest sites, public clouds, and the Internet; provision and maintain cloud firewalls, load balancers, transit gateways, route tables, SSL certificates, and IP allocations. Implement Network Infrastructure as Code (Terraform), troubleshoot production issues (on-call), manage ServiceNow incidents, and create operational/deployment standards while collaborating with architecture, security, and infrastructure teams.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

Design, build, monitor, and optimize scalable ETL/data pipelines on Azure. Collaborate with scientists and engineers to integrate systems, support analytics/ML, and ensure performance, cost-effectiveness, and data governance.

Provide 24x7 support and engineering for cloud networking: design, deploy, and operate LAN/WAN/VPN and load-balancing infrastructure; troubleshoot performance incidents; maintain documentation and runbooks; implement site-to-site connectivity; participate in on-call rotation; manage hardware lifecycle, network tuning, capacity reporting, DR, and small-to-medium projects.

Provide day-to-day operational support for physical and virtual server OS environments (Linux/Windows), install/configure server hardware and OS, maintain documentation and runbooks, produce capacity and vendor reports, provide Level 2 on-call support, monitor performance and DR/HA, and manage small to medium projects.

Build and maintain Back of House data delivery and related BOH projects using AWS serverless technologies. Write code and unit tests, collaborate with SRE/QE/security/product teams across Yum! Brands, document data flows, and improve tooling and processes to increase restaurant operational efficiency and data integrations.

The Cloud DevSecOps Engineer will architect, design, and deploy AWS solutions, focusing on automation, security, and system performance within an agile team.

Architect and build a scalable AI Security platform: develop Go microservices for Cloud Control Plane and distributed Edge Backends, design resilient policy sync, discovery and access-brokering services, ensure high availability and observability, and provide technical leadership and mentoring.

Design and implement scalable, resilient cloud and edge microservices in Go for an AI-focused identity and privileged access platform. Build cloud control plane and distributed edge backends, ensure secure policy synchronization and discovery, integrate AI-native features, mentor engineers, and drive architecture and engineering best practices.

Own and evolve Qrypt's AWS infrastructure as code, build cloud services (primarily in Rust) to deliver quantum entropy and keys, deploy into customer environments, implement monitoring/observability, improve reliability/security/cost, partner on roadmap, and support on-call/operational readiness.

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.

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.

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.

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.

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.

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.

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.