Top Cloud Engineer Jobs

The Cloud Data Services Engineer will support Cloud Data Services, perform database design, and implement DevOps practices in a high-performance team environment.

The Cloud Data Services Engineer will support Cloud Data Services, focusing on SQL Server and NoSQL technologies. Responsibilities include database design, performance monitoring, and automation within a DevOps environment.

The Cloud Big Data Engineer role focuses on supporting Cloud Data Services, involving database design, performance monitoring, and troubleshooting in a fast-paced environment. The role requires expertise in Microsoft SQL Server, NoSQL, and cloud application administration, while embracing DevOps practices for continuous integration and automated quality checks.

The Cloud Data Services Engineer will design and implement solutions, support production databases, plan procedures, and evaluate new cloud technologies.

Develop and maintain secure, scalable cloud services and APIs that interface with an embedded platform. Design infrastructure, implement backend systems, fix bugs, write automated tests, and apply secure distributed-systems practices while collaborating with engineering and product teams.

Design, build, and maintain cloud infrastructure, backend services, and APIs; integrate cloud services with embedded platforms; debug, write automated tests, and apply secure distributed-systems practices.

Develop, test, and release improvements to Ubuntu on public clouds, ensuring quality and stability, while collaborating with a global team.

As a Cloud Support Engineer, you will resolve complex customer issues related to Ubuntu, ensure high satisfaction levels, and contribute to knowledge sharing.

The Principal Software Engineer will lead the design and development of scalable AI-native cybersecurity systems, drive technical initiatives, and mentor engineers while collaborating closely with cross-functional teams.

The Senior Cloud Network Engineer will design and implement scalable cloud networking solutions, automate infrastructure processes, and lead cross-functional collaborations while ensuring security and operational excellence.

Seeking a skilled Kubernetes Administrator and Application Developer for contract work, responsible for deploying, managing Kubernetes applications, and cluster administration.

Lead design and delivery of Agentic AI IAM and secrets management across hybrid environments. Build secure authentication/authorization, centralized secrets vaulting, automated rotation, governance, monitoring, and operational metrics. Partner with infrastructure, cloud, DevOps, application, and risk teams to implement Zero Trust, machine identity security, and AI agent safeguards while driving enterprise program execution and compliance.

The Senior Cloud Network Engineer will design, implement, and support cloud networking solutions in Microsoft Azure, focusing on high availability and security, while mentoring other engineers.

Develop scalable PaaS and IaaS platforms for autonomous driving, improving performance and efficiency through architecture and data processing.

The Cloud Data Engineer will design and develop data warehouse solutions, create efficient data pipelines, collaborate with teams, and monitor system health.

As a Senior Cloud Engineer, you will deploy and configure cloud resources in AWS, advise clients on cloud technologies, and optimize operations while ensuring security best practices.

Develop and maintain the architecture for Cerebras' Inference Cloud Platform, focusing on distributed systems, performance optimization, and technical direction. Responsibilities include coding, design reviews, and mentoring senior engineers.

Build and scale the cloud agent platform: design orchestration, sandboxing, and storage systems for long-running agent workloads; partner with product engineers; improve reliability, security, performance, and cost efficiency; and deploy services across environments and multiple clouds.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

Build and maintain a Kubernetes-native deployment and automation platform: backend microservices and APIs, GitOps pipelines, CRDs/operators in Go, multi-cloud and bare-metal automation with Terraform/Ansible/Vault, staging/prod-like environments, monitoring and SLOs, and integrations with CI/CD, observability, and automated remediation to enable zero-downtime global rollouts.

Design, implement, and operate AWS cloud networking (VPCs, subnets, routing, gateways, load balancing); build reusable networking patterns; support hybrid connectivity (VPN/Direct Connect); enforce network security and segmentation; onboard application teams; monitor and troubleshoot connectivity; contribute tooling, documentation, and participate in 24/7 on-call rotation.

The role involves designing and building backend services for Claude across cloud platforms, focusing on operational efficiency and cross-functional collaboration to optimize AI applications.

Customer-facing senior cloud engineer who architects and implements Fastly edge/CDN solutions, performs post-sales implementations (VCL, logging, image optimization), troubleshoots customer systems, recommends improvements, and drives adoption while communicating technical concepts to technical and non-technical stakeholders.

Design, deploy, and sustain secure multi-cloud environments across AWS, Azure, Oracle, and GCP using IaC and automation. Troubleshoot cloud issues, harden security posture with Azure security tools, configure network controls, manage cloud compute/storage/network/database services, and collaborate with architects and security teams to ensure compliance and mission objectives.

The Cloud Engineer will design, build, and maintain scalable AWS cloud infrastructures, automate deployments using Terraform, and enhance security practices. Responsibilities include monitoring performance, collaborating with teams, and troubleshooting issues.