Top Remote Cloud Engineer Jobs

Lead design, implementation, automation, and operation of enterprise Okta identity services. Drive application onboarding, federation, lifecycle management, resiliency, monitoring, incident response, governance, and platform automation while mentoring engineers and improving security posture.

Design, build, and operate Redpanda Cloud services across AWS, GCP, and Azure. Own features end to end, lead technical architecture, and develop automated provisioning, deployment, upgrades, and self-healing systems. Maintain reliability, scalability, security, resilience, and observability for a 99.99% SLA. Participate in on-call operations and collaborate with Cloud, Core, AI, Platform, product, and customer-facing teams.

Leads cloud services operations, infrastructure improvements, complex issue resolution, customer deployments, maintenance, automation, and technical documentation across private and public cloud environments. Collaborates with architects, mentors cloud engineers and administrators, recommends infrastructure and configuration improvements, and supports scalable, secure, cost-efficient cloud solutions.

Design, build, and operate high-scale distributed observability systems for telemetry ingestion, processing, storage, autoscaling, and service provisioning. Own platform reliability, performance, capacity, and cost efficiency; participate in on-call rotations and resolve incidents through root-cause fixes. Develop automation, identify architectural bottlenecks, contribute to technical roadmaps and design reviews, and collaborate with infrastructure, product, and engineering teams.

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.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Leads SRE engineering leaders and engineers while defining enterprise observability, reliability, and platform strategy across GCP, on-premise, manufacturing, distribution, and campus environments. Oversees vendor-agnostic tooling, OpenTelemetry integrations, CI/CD observability, SRE maturity models, and Agentic AI initiatives. Drives adoption of SRE practices, develops technical roadmaps, partners with senior leadership and operational teams, and maintains hands-on architectural and technical credibility.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.

Implements and maintains GCP cloud infrastructure, builds automation, troubleshoots infrastructure and observability issues, supports incident response, and improves scalability, security, availability, monitoring, and compliance. Collaborates across technology and business teams on workflow automation and participates in on-call rotations, outage response, documentation, metrics, and sprint processes.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Implement and maintain AWS cloud standards, IaC patterns, and CI/CD automation to enable developer self-service. Support containerized workloads, monitoring, security/compliance, troubleshooting, documentation, and participate in on-call rotation to ensure reliable, cost-efficient cloud platform operations.

Lead performance and scalability engineering for Kubernetes-based accelerated AI runtimes. Analyze end-to-end stack from orchestration to hardware, design upstream Kubernetes changes, improve container startup and encrypted inference performance, build large-scale simulations and automated workload tests, and engage upstream communities and customers to validate and ship scalable AI infrastructure.

Lead hands-on cloud implementation and technical ownership for Google Cloud environments: design, deploy, and operate secure, scalable infrastructure; implement hybrid connectivity, security guardrails, observability, and automation; lead delivery and mentor engineering teams.

Provides technical pre-sales and consulting support for Microsoft’s GitHub, Visual Studio, Azure AI, and cloud developer platforms. Leads demos, proofs of concept, hackathons, code-with sessions, and architecture workshops for enterprise development teams. Advises customers on secure, scalable cloud-native architectures, DevOps, CI/CD, and AI-assisted software development; resolves technical objections; collaborates with engineering; and promotes Microsoft solutions through customer and developer communities.

Lead the maturation of Ontic’s AWS cloud security program by designing and automating security controls, integrating security into CI/CD workflows, improving cloud monitoring and detection, and developing continuous evidence collection for FedRAMP and other compliance initiatives. Partner with Engineering and DevOps teams on secure architecture, cloud best practices, regulated SaaS environments, and measurable security improvements.

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.

Leads Azure, AWS, and hybrid cloud deployment, migration, modernization, networking, security, automation, governance, backup, and disaster recovery projects. Designs highly available cloud architectures, implements Infrastructure as Code, supports virtual desktop environments, assesses customer readiness, and develops migration roadmaps. Provides technical leadership, mentoring, escalation support, architecture review participation, and customer advisory services.

Senior full‑stack engineer responsible for designing, building, testing, and supporting scalable backend services and user-facing UIs for a healthcare data platform. Works across Agile teams on data ingestion/transformation, APIs, cloud infrastructure, containers, and CI/CD. Leads major initiatives, mentors team members, participates in on-call rotation, and ensures HIPAA/compliance and engineering best practices.

Design, implement, and maintain high-performance cloud gaming software stacks across the application pipeline, including hardware-accelerated video/audio/data processing, media encoding/decoding, graphics APIs, and network transport. Optimize local and end-to-end system performance, work across complex codebases and hardware platforms, collaborate across teams, and take ownership from conception to production.

Designs and implements secure, fully automated cloud CI/CD pipelines and infrastructure-as-code. Collaborates with architecture, security, QA, and engineering teams to automate builds, tests, deployments, observability, and incident response. Develops Ansible, Terraform, Packer scripts, pipelines-as-code (YAML), and tools to improve reliability, security, and deployment velocity while ensuring compliance and documentation.

Provides third-level AWS cloud support for customers, troubleshooting complex technical issues and designing scalable solutions. Responsibilities include systems administration, security reviews, patching, deployments, account administration, cost optimization, automation, monitoring, and Well-Architected Framework Reviews. The engineer supports presales engagements, quality-checks team work, participates in 24/7 on-call rotation, mentors junior engineers, and documents solutions. The role requires strong AWS, Linux, Windows, web-service, scripting, networking, and production operations expertise.

Lead the architecture and development of Azure-based IoT cloud solutions, ensuring scalability, reliability, and security. Mentor engineers and optimize cloud platform performance while collaborating across teams.

Design, build, and operate a secure, highly available ClickHouse Cloud platform for regulated and mission-critical environments across cloud, hybrid, and on-prem deployments. Develop Kubernetes-based deployments, Helm charts, operators, automation with Terraform/Ansible/CI-CD, and optimize database performance while ensuring compliance with security frameworks (NIST, FedRAMP, IRAP). Troubleshoot production issues and produce system and compliance documentation.

Design and scale secure AWS environments, build and maintain Terraform IaC and pipelines, lead security assessments and incident response, integrate security into CI/CD, define IAM/encryption/network controls, monitor and investigate cloud threats, and coach teams on cloud security best practices.

Design, build, and scale HSM-backed cryptographic and key-management services for large-scale cloud environments. Implement PKI, TLS, client-side encryption, TEEs, and Confidential VMs. Integrate identity (OAuth/SAML/Keycloak) and secure Google Workspace services. Ensure cryptographic lifecycle, compliance (FIPS), high availability, and support secure deployments across cloud APIs, OS, and hardware.