Top Remote Cloud Engineer Jobs

Owns end-to-end FinOps for a multi-account AWS platform, including forecasting, budgeting, cost attribution, anomaly detection, rightsizing, chargebacks, and financial reporting. The role governs AI/ML costs such as Amazon Bedrock token consumption, implements cost controls, supports federal stakeholders, and ensures compliance with FedRAMP, FISMA, and NIST requirements. It also provides funding threshold notifications and optimization recommendations across cloud and data platforms.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Administer, secure, optimize, and modernize enterprise Oracle and cloud database platforms in a federal hybrid-cloud environment. Responsibilities include production database maintenance, performance tuning, backup and recovery, high availability, incident response, automation, infrastructure-as-code, migrations, vulnerability remediation, documentation, and cross-functional troubleshooting. The role supports Oracle, Azure, Tessell, and additional database technologies while maintaining reliable 24x7 operations and contributing to DevSecOps and continuous improvement initiatives.

Build, secure, and maintain Azure and GCP cloud infrastructure across environments. Manage security controls, compliance, CI/CD, automation, monitoring, and deployments while integrating cloud services with software applications. Collaborate with engineering teams using AI-assisted development tools and LLMs. Support production software, AI agents, retrieval systems, and RAG applications. The role requires strong problem-solving, communication, collaboration, and independent delivery skills.

Operates and designs hybrid on-premises and AWS network infrastructure, including VPCs, Transit Gateway, VPN, Direct Connect, routing, firewalls, and security controls. Leads CIDR remediation, maintains network documentation and IPAM records, automates infrastructure with Terraform, Ansible, and Python, and supports FedRAMP-aligned environments. The role coordinates Network and Cloud Ops teams, mentors engineers, manages vendors, handles Tier 1 and Tier 2 escalations, and participates in a 24x7 on-call rotation.

Designs and manages CI/CD pipelines, develops Terraform-based Infrastructure as Code, integrates AWS and Azure services, and maintains cloud and on-premises infrastructure. The role automates development processes, monitors system performance, ensures compliance and security, conducts production root cause analysis, and collaborates with development teams on software integration. Responsibilities also include managing Kubernetes, source control, observability, networking, and cloud operations tools.

Create and maintain runnable, tested developer-facing documentation and example repos (Terraform/CloudFormation/CDK, SDKs, CLI) for AWS workloads; instrument docs for activation and trial conversion; collaborate with engineering, product, and growth to optimize onboarding and self-serve success.

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

Designs and manages scalable GCP infrastructure using Terraform, builds CI/CD automation, optimizes cloud performance and costs, and ensures reliability, security, and high availability. The role requires deep GCP and Terraform expertise, production cloud experience, incident troubleshooting skills, and familiarity with CI/CD platforms, containers, Kubernetes, Atlantis, IAM governance, and compliance auditing. Applicants must be U.S. citizens residing in the United States.

Develop and optimize Salesforce Marketing Cloud Personalization solutions, including web tracking, behavioral events, audience segmentation, campaigns, sitemaps, JavaScript customizations, Einstein recommendations, and integrations with Salesforce and other systems. Troubleshoot implementations, monitor performance, conduct A/B testing, ensure data quality and privacy compliance, and collaborate with business and technical teams in a remote client-facing environment.

Designs, deploys, secures, and maintains AWS cloud infrastructure supporting UiPath RPA operations. Responsibilities include EC2, WorkSpaces, networking, IAM, certificates, HSMs, SCCM, Kubernetes/EKS, containers, Infrastructure as Code, monitoring, patching, disaster recovery, troubleshooting, documentation, and user support. The role collaborates with RPA, security, and customer teams, supports geographically dispersed users, participates in on-call rotations, and requires Secret clearance eligibility and U.S. citizenship.

Architects, secures, and operates AWS cloud infrastructure and Kubernetes platforms. Responsibilities include deploying resilient workloads, enforcing GPO and STIG compliance, packaging and delivering COTS applications, and integrating observability telemetry with SIEM solutions for monitoring, auditing, and incident response. The role requires maintaining Secret clearance eligibility and supports a remote government customer environment.

Architects, deploys, and enhances secure, scalable Azure cloud environments using Terraform and infrastructure as code. Leads Azure landing zone architecture, governance, automation, CI/CD integration, self-service enablement, cloud optimization, and compliance with healthcare security standards. Supports cloud operations, troubleshooting, on-call availability, and team training, including GitHub Copilot and Azure MCP Server adoption.

Designs, builds, and operates scalable enterprise data and AI platforms using Microsoft Fabric and Azure. Develops cloud-native data solutions, AI-enabled applications, automation workflows, and CI/CD pipelines. Applies Python, SQL, Terraform, Jenkins, GitHub, testing, and modern software engineering practices. Supports production platforms, improves reliability and performance, and collaborates with data engineers, architects, scientists, and product teams on secure, governed, enterprise-scale data capabilities.

Designs, deploys, and manages secure multi-cloud and hybrid cloud environments across AWS, Azure, GCP, OCI, and on-premises infrastructure. Leads cloud migration, modernization, infrastructure automation, landing zones, tenant provisioning, monitoring, DevSecOps, compliance, and ATO activities. Applies FinOps and KION practices to optimize cloud costs, billing, chargeback, and financial governance. Supports federal, defense, space, intelligence, and commercial customers while providing technical guidance and documentation.

Leads the architecture, development, deployment, and operation of enterprise AI Ops solutions, including RAG pipelines, agentic workflows, and AI-powered applications. Improves SRE practices, leads incident response, automates cloud infrastructure with Terraform and GitHub Actions, and ensures reliability, scalability, security, and responsible AI. Designs and operates software using Python and Node.js, manages Kubernetes environments, mentors engineers, and leads globally distributed technical teams.

Own and improve a multi-account AWS platform, including networking, security, certificates, file delivery, CI/CD, infrastructure as code, workflow automation, monitoring, incident response, and cost compliance. The role manages production changes, documents systems and runbooks, supports development deployments, troubleshoots scheduled data workflows, automates repetitive tasks, and coaches junior engineers. It requires strong AWS, Linux, Terraform, scripting, security, deployment, and operational communication skills.

Lead the technical vision and development of Temporal Cloud capacity systems. Design infrastructure for resource utilization tracking, consumption forecasting, automated capacity planning, and efficient resource management. Build distributed cloud services supporting autoscaling, workload isolation, and predictable performance in a multi-tenant environment. Collaborate with Product, Cloud Infrastructure, Finance, and executives on provisioning, pricing, scaling, and cost strategy.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Lead a multidisciplinary team to architect, build, and secure cloud-native systems (primarily Azure), implement GitLab CI/CD and Artifactory-driven DevSecOps pipelines, integrate with aircraft and mission systems, enforce NIST/DoD-aligned secure development practices, manage sprints and roadmaps, mentor engineers, and ensure accreditation, configuration management, and stakeholder reporting in a classified environment.

Design and implement scalable, fault-tolerant security solutions protecting enterprise data across clouds, SaaS applications, and AI agents. Build agentic security capabilities, integrate large-scale third-party data sources, develop RESTful APIs and microservices, optimize distributed systems, and create secure software resilient to attacks and high-volume endpoint communication.

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

Design, configure, and maintain cloud infrastructure across Azure and AWS. Own IaC (Terraform, Ansible, PowerShell) and CI/CD pipelines, integrate source control and automated testing/security, implement governance and hybrid cloud solutions, deploy generative AI services, monitor performance, support disaster recovery, and collaborate with cross-functional teams to ensure secure, scalable, and compliant cloud platforms.

Partners with sales executives to provide technical pre-sales support, lead proof-of-concept processes, deliver customer presentations, architect cloud security solutions, and help close opportunities. Maintains product expertise, supports events and technical working sessions, updates CRM records, collaborates with sales and engineering, and contributes to revenue targets. Requires extensive sales engineering and cloud security experience, strong presentation skills, and familiarity with major cloud platforms and security solutions.

Design and implement cloud-native IoT software using Azure, serverless computing, TypeScript, React, and NestJS. Build scalable applications, APIs, and integrations for web, mobile, partner, and IoT devices. Develop automated tests, implement secure production code, maintain rollback capabilities, support products through on-call participation, and translate business requirements into technical designs. Collaborate using agile and paired programming practices while communicating complex technical concepts to business and product teams.