Top Remote Cloud Engineer Jobs

Lead technical pre-sales engagements for Microsoft cloud database and analytics products. Deliver PoCs, demos, hackathons, and architecture workshops; design secure, scalable solutions; resolve technical blockers; collaborate with engineering; and evangelize Fabric, Databricks, Purview and Azure database technologies to accelerate customer migrations and adoption.

Provides enterprise technical leadership for cloud and network modernization across DoD environments. Engineers multi-cloud integrations, secure connectivity, cloud access points, routing and switching, data center technologies, F5 ADC solutions, and Zero Trust architectures. Leads migration planning, compliance with DoD security frameworks, Tier 3/4 troubleshooting, technical documentation, executive recommendations, and cross-disciplinary initiatives. The hybrid role supports DLA and requires periodic onsite work for NIPR/SIPR operations.

Operate and monitor MongoDB Atlas infrastructure, troubleshoot production incidents, automate monitoring and remediation, collaborate globally to reduce MTTR, participate in on-call rotations and second-shift weekend schedules, and support FedRAMP government environments.

Design, develop, and test full-stack web components and APIs using cloud-native (GCP) microservices. Build frontend UIs, backend services, unit/integration tests, and CI/CD pipelines. Collaborate with product, QA, and security teams to deliver production-ready code and ensure compliance with enterprise security controls.

Senior Cloud Security Engineer responsible for hands-on remediation of cloud and infrastructure vulnerabilities, operating vulnerability and CSPM tooling, enforcing secure configurations across Azure environments, embedding security in CI/CD and IaC, supporting compliance/audits and reporting, mentoring engineers, and partnering with cross-functional teams to maintain cloud security posture and policy.

Own and operate the data plane: develop Envoy/WASM filters for deep packet inspection, deploy and manage EKS workloads with Helm/GitOps and CI/CD, integrate Redis sidecars, provide observability (Prometheus/Grafana/OpenTelemetry), ensure reliable audit log streaming, and author ADRs as the data plane evolves.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

Migrate and operate customer experience applications on Google Cloud. Perform lift-and-shift to GCP, deploy and validate releases, manage containerized microservices (GKE/Docker/Terraform), query and configure apps, use Jenkins/git for pre-staging, and troubleshoot Linux/Unix systems with scripting.

Design, implement, and transition Genesys Cloud contact center solutions. Build call flows/IVR in Genesys Architect, develop integrations using APIs/JSON/JavaScript, execute test plans, and follow change control processes while ensuring clear communication and ownership.

Build and operate foundational infrastructure for Temporal Cloud, focusing on high availability, disaster recovery, control-plane automation, database performance, deployment systems, and CI/CD. Design scalable multi-tenant SaaS systems, improve reliability and resilience, optimize PostgreSQL and related data platforms, and develop infrastructure tools, APIs, and operational automation for safer, faster releases.

Designs, builds, and manages cloud-based data systems, including pipelines, data lakes, warehouses, lakehouses, databases, and ETL processes. Develops optimized Python and SQL queries, improves workflow performance, and supports data movement between on-premises and cloud environments. Collaborates with leadership, analysts, research teams, and other departments to define requirements and reporting needs. Applies data governance, access controls, security, compliance, troubleshooting, and system support practices.

Lead design, development, testing, and deployment of cloud-native full‑stack applications and microservices. Provide technical leadership, mentor engineers, implement CI/CD and automated tests, and drive modernization using GCP or similar cloud platforms, containers, and enterprise security best practices.

Designs and implements scalable Java and cloud software solutions, modern microservices, APIs, and Generative AI capabilities. Leads architecture discussions, creates proofs of concept, optimizes performance, participates in code reviews, resolves complex issues, and mentors engineers. Collaborates with business and technical leaders to deliver high-quality products and improve platform capabilities.

Develop and maintain secure, scalable cloud-native software, microservices, APIs, and AI/ML integrations on Google Cloud. Deploy GKE infrastructure using IaC, support CI/CD pipelines, implement monitoring and alerting, address vulnerabilities, conduct code reviews, and maintain technical documentation. Collaborate with data scientists, DevSecOps engineers, security teams, and mission stakeholders in a DoD environment.

Design, build, and manage scalable AWS infrastructure; implement IaC and CI/CD pipelines; monitor and resolve production issues; automate deployments; ensure security, resilience, and cross-team integration.

Design, operate, and evolve CI/CD and delivery infrastructure for ~400 engineers. Build developer-facing tooling, champion progressive delivery (canaries, automated rollbacks), own end-to-end delivery from merge to production, improve pipeline reliability and speed, evolve the Internal Developer Portal, and embed AI-assisted workflows into the software development lifecycle.

The Senior Production Engineer will scale AI infrastructure, manage production systems, implement monitoring capabilities, and ensure reliability and performance across NVIDIA's AI clusters.

The Cloud Engineer (AWS) will design and implement cloud solutions, support documentation for processes, and facilitate transitions to operations, focusing on security and performance for a federal agency.

The Cloud Engineer will design scalable cloud solutions, support documentation, and analyze business needs for a federal agency, utilizing AWS and cloud fundamentals.

The Cloud Engineer (AWS) will design scalable solutions, support documentation for security and operations, and facilitate system transitions for federal projects.

The Cloud Engineer (AWS) will design and implement cloud solutions for a federal agency, ensuring flexibility, scalability, and security while supporting documentation and operational processes.

Responsible for supporting documentation for engineering, security, and operational processes of cloud solutions, specifically for federal agencies. Requires strong knowledge of cloud computing fundamentals and AWS.

The Cloud Engineer (AWS) will design scalable solutions, support documentation development, perform technical analysis, and ensure operational transition within security protocols for a federal agency.

The Cloud Engineer will develop documentation for engineering and operational processes, design scalable solutions, and support cloud migration for a federal agency.

The Cloud Engineer (AWS) will design scalable solutions, support documentation development, and ensure operational processes for a federal agency, with a focus on AWS services.