Top Remote Cloud Engineer Jobs

Lead design and hands-on development of AWS-based serverless backend and IoT cloud services. Build Python Lambda microservices, REST APIs, telemetry pipelines, and secure AWS IoT Core device communication. Mentor engineers, define architecture patterns, ensure production readiness (monitoring, CI/CD, security), and guide cross-functional integrations and technical roadmaps.

Build and operate high-throughput experimentation and recommendation infrastructure. Design APIs and services, use agentic AI workflows (LLMs) for development, ensure performance and reliability, participate in on-call, mentor teammates, and codify AI-native engineering practices.

Provide technical leadership to design, modernize, and sustain a portfolio of .NET web applications and Azure infrastructure. Develop and migrate WebForms to ASP.NET Core and SSRS to Power BI, maintain SQL Server databases, enforce secure coding and ATO compliance, ensure accessibility (Section 508/WCAG), and mentor junior developers while coordinating with VA stakeholders.

The role involves building automation and tooling for GPU infrastructure, improving workflows, and collaborating with teams for reliable cluster operations.

Design, build, and operate a cloud-first platform: architect scalable AWS backend services, own infrastructure via AWS CDK, develop full-stack components (Node.js, React, React Native), optimize PostgreSQL, and drive platform technical direction while supporting production and incident response.

Join the Infrastructure team to support and extend Kubernetes platform, provision and manage AWS resources via IaC, build observability in Splunk, automate operational tasks (certificates, TLS), participate in on-call and incident response, and track work through Jira while contributing to code reviews and documentation.

The role involves architecting and implementing scalable microservices on Oracle Cloud Infrastructure, automating infrastructure, and managing high-performance systems.

The role involves designing and maintaining a scalable cloud infrastructure, working with cloud technologies, and improving system performance and security.

Develop and maintain cloud applications, leveraging Microsoft technologies and DevOps practices, while following Agile methodologies and best coding practices.

Design, implement, and support secure, scalable hybrid cloud and on‑prem infrastructure. Lead Azure and Microsoft 365 architecture, manage identity/security (AD/Entra ID/MFA), virtualization, backup, networking, and endpoint systems; provide escalation support, governance, cost optimization, and on‑call coverage.

Seeking a Senior Software Engineer with expertise in cloud and full stack development, focusing on CI/CD, microservices, and team leadership.

Design, implement, and support enterprise cloud network infrastructure across Azure, OCI, and GCP. Manage firewalls, Cisco devices, VPNs, VPCs, and virtual networking; deploy configurations with Terraform (including AWS security groups); enforce STIG/IAVM compliance; monitor performance; provide Level-2/3 troubleshooting and participate in 24/7 on-call rotation.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Designs, implements, and maintains cloud and on‑prem network infrastructure with IaC (Terraform/CloudFormation/Ansible), supports AWS environments, builds CI/CD pipelines, authors technical documentation, troubleshoots escalations, and collaborates with Cloud Architects and product teams in a remote Agile environment.

Design, implement, and operate large-scale, high-performance distributed storage clusters for AI/HPC workloads. Build monitoring, logging, alerting, automation, and capacity management; optimize latency, throughput, caching, tiering, and data placement. Support lifecycle from design to production, perform incident response and blameless RCA, and participate in on-call rotation to maintain availability, performance, and security.

The Senior Platform Engineer will collaborate with teams to design and implement robust platform solutions, manage Kubernetes clusters, automate infrastructure, and ensure reliability in cloud environments, all while supporting critical systems.

This role involves leading FinOps initiatives for cost optimization in cloud infrastructure, mentoring engineers, and driving automation workflows to enhance productivity and efficiency.

Own and improve AWS cloud environment, network connectivity, and internal IT operations. Implement IaC for client onboarding, harden network/security, monitor and remediate vulnerabilities, maintain HIPAA-compliant configurations, manage device enrollment/MDM and IAM, optimize cloud costs, automate infrastructure processes, and support engineering as the go-to cloud resource.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Design, implement, and maintain cloud-based systems and instrument connectivity for diagnostic devices. Lead architecture, write and test software, participate in agile practices, mentor developers, and collaborate with cross-functional teams to deliver scalable, secure cloud services and customer-facing applications.

Lead the technical direction for production engineering in NVIDIA DGX Cloud, focusing on Kubernetes operations, automation, and reliability for GPU clusters.

The Principal Engineer - SAP Cloud Solution Architect leads technical architecture and pre-sales for SAP Cloud solutions, influencing executive decisions and driving innovative cloud strategies aligned with business objectives.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

Design, build, deploy, and operate large-scale GPU cloud infrastructure and tooling for AI training and inference. Perform performance analysis, capacity management, monitoring, automation, incident response, and lifecycle support for distributed multi-GPU/multi-node systems.

Build automation for Windows and Linux VMs running on an OpenStack cloud. Collaborate with developers and testers to design and implement CI/CD pipelines and infrastructure automation using tools like Puppet, Chef, or Ansible. Support artifact and version control tooling; Artifactory and ClearCase experience is a plus. Project targeted to start May 9th.