Top Cloud Engineer Jobs

Design, develop, integrate, test, deploy, and sustain secure, scalable cloud-native applications for DoD/IC missions. Participate in full SDLC, support installation and operational deployment, troubleshoot and resolve issues, enhance performance and security, produce technical documentation, and collaborate in Agile teams with DevSecOps and cloud architects.

The Lead DevOps Engineer will drive cloud product strategies, enhance ML capabilities, ensure best practices in infrastructure deployments, and mentor teams.

Design, deploy, and operate hybrid Microsoft Azure infrastructure for a classified program. Architect landing zones, governance, IaC (Terraform/Ansible), migrations, security hardening (STIGs/CIS/RMF), monitoring, DR, cost optimization, and documentation while mentoring junior engineers and supporting ATO activities.

The Cloud Migration Engineer will design and execute infrastructure migrations to GCP, manage client communications, and ensure zero data loss while leveraging Terraform for repeatable processes.

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.

Operate and optimize AWS, Azure, or GCP cloud environments; automate infrastructure; develop DevSecOps and CI/CD pipelines; troubleshoot distributed systems and cloud-native applications; and implement monitoring, logging, and alerting. The role supports government cloud programs and requires Secret clearance, relevant cloud experience, and the ability to obtain specified AWS, Azure, and DoD certifications after hire.

Customer-facing technical role designing and supporting SaaS integrations for RFID-based retail inventory deployments. Responsibilities include solution architecture, API and data integration support, technical testing, troubleshooting, deployment optimization, pre-sales demonstrations, customer training, performance analysis, and product feedback. The role requires collaboration with customer IT teams, sales, product specialists, and international technical colleagues while managing multiple implementations and traveling 25–35% domestically and internationally.

Automate, configure, and maintain OVHcloud infrastructure across servers, networks, storage, virtualization, and cloud platforms. Responsibilities include deployment engineering, UAT, patching, monitoring, incident escalation, root-cause analysis, performance and capacity planning, configuration projects, vendor management, mentoring, and disaster recovery/business continuity maintenance.

Designs, configures, and troubleshoots complex cloud, local, and wide area network systems across virtualized and containerized environments. Resolves interoperability issues across hosts, hypervisors, and guest nodes; configures cloud servers and networking equipment; and supports hardware, software, and subcontractor acquisition. Provides technical leadership, contributes to software lifecycle projects, performs vulnerability analysis, and applies AI and machine learning to technical delivery.

Design, automate, scale, and operate cloud-native platforms supporting Target teams and technology. Build secure, resilient, self-service infrastructure and distributed systems; improve automation, observability, reliability, performance, availability, and production readiness. Collaborate with product, engineering, and security teams, review code, resolve operational issues, and develop maintainable software using modern programming languages and platform technologies.

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.

Develop and architect Oracle Fusion Cloud solutions, including application extensions, interfaces, reports, conversions, database operations, integrations, migrations, and end-to-end testing. Translate requirements into test specifications and plans, including accessibility testing, while monitoring results and troubleshooting Oracle database performance across client infrastructures.

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 individual contributor responsible for designing, implementing, and operating cloud, multi-cloud, and hybrid network architectures. Troubleshoots and resolves network incidents, produces design documents and diagrams, mentors junior engineers, participates in hiring, and leads small projects to meet scope, schedule, and delivery goals.

Design, deploy, and operate secure, scalable GCP infrastructure and platform services. Responsibilities include Terraform-based infrastructure, GKE and Kubernetes operations, CI/CD automation, cloud networking, observability, IAM, security controls, cost optimization, incident response, and documentation. The engineer will mentor junior staff, review infrastructure code, support migrations and multi-tenant platforms, and collaborate with engineering, product, security, and compliance teams.

The AI Engineer will design, develop, and deploy machine learning models, work on APIs for AI applications, and manage ML pipelines on AWS. Responsibilities include productionizing AI systems and developing scalable solutions in a cloud-native environment.

Design, model, and deploy vehicle prognostic features across edge and cloud. Use MBSE, MATLAB/Simulink, and C++ for simulation and production code, collect and analyze vehicle telemetry on GCP/SQL, perform FMEA/FMEDA and cybersecurity assessments to meet ISO 26262/21434, integrate with vehicle networks (CAN/LIN/Ethernet), and drive cross‑functional triage from concept to production.

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.

Design, build, and operate cloud-native, large-scale data platform and real-time stream processing services. Lead distributed systems development using Java/Scala and big-data technologies, mentor teams, ensure scalability, reliability, security, and drive platform adoption across the organization.

Develop and maintain ASP.NET Core APIs and service components for a C# desktop product; own medium-sized features end-to-end; contribute to Google Cloud-to-Azure migration (adapters, data migration, validation); build CI/CD, container deployments, observability, runbooks, and mentor junior engineers.

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.

Design, build, and operate containerized platforms and Kubernetes environments in Microsoft Azure. Author Dockerfiles, Helm charts, Kustomize overlays, GitLab CI/CD pipelines, and Terraform IaC. Automate provisioning and deployments, support platform operations and troubleshooting, and improve reliability, security, and deployment efficiency for mission partner environments.

Senior Cloud Engineer to design, implement, and maintain multi-cloud (AWS/Azure) virtual infrastructure and networking for DoD mission partner enclaves. Work includes cloud architecture, automation/CI-CD, container/instance orchestration, partner integration, troubleshooting, and weekly on-site customer support. Hybrid Fairfax, VA role with ~10–20% CONUS/OCONUS travel.

Operate and evolve GovCloud-based infrastructure: maintain AWS services (EC2, VPC, IAM, storage, load balancers), administer RHEL Linux, support containerized workloads (Docker, ECS/Fargate, Kubernetes), monitor and troubleshoot production systems, apply STIGs and remediation, support FedRAMP/NIST/DoD compliance, and participate in on-call rotations.