Top Cloud Engineer Jobs

Own the platform’s Azure cloud infrastructure, including networking, identity, Terraform-based infrastructure as code, CI/CD, Kubernetes, container security, observability, incident response, and cloud cost optimization. Design scalable AKS environments, secure deployment workflows, manage secrets and access controls, implement vulnerability remediation and threat modeling, and support SOC 2 readiness. This foundational role establishes greenfield infrastructure standards and partners with engineering teams to enable reliable, secure, rapid delivery.

Lead global cloud security architecture across AWS, Azure, or GCP, including Zero Trust, IAM, micro-segmentation, encryption, AI/ML security, policy-as-code, CNAPP/CSPM, threat modeling, and automated compliance. Develop security automation and testing within CI/CD pipelines, reduce cloud threat detection times, and advise architecture and executive leadership on security risks and regulatory requirements.

Support ALTESS managed cloud services infrastructure across Azure, AWS, and private clouds. Responsibilities include migrating applications from on-premises environments, designing secure networking and transport solutions, automating infrastructure and administrative tasks, managing CI/CD pipelines, applying DoD STIGs and vulnerability-management practices, and coordinating large-scale projects. The position requires active DoD Secret clearance, Security+ or equivalent certification, a cloud-computing certification, and at least five years of IT or computer science experience.

Develop, test, deploy, and sustain operational scientific applications supporting space weather forecasting. Responsibilities include Python and Java development, REST APIs, AWS integration, Docker containerization, infrastructure automation, CI/CD, database management, scientific data integration, production transitions, troubleshooting, and Tier 3 on-call support in a high-availability operational environment.

Develop and support AWS disaster recovery, infrastructure-as-code, automation, monitoring, and FinOps capabilities. Build Terraform modules and operational workflows, create DR runbooks, conduct failover and recovery testing, improve resilience and observability, analyze cloud costs, and coordinate with security and risk teams on compliance and business continuity.

Designs, implements, and maintains cloud security controls and infrastructure, including access provisioning, monitoring, incident response, vulnerability management, and security automation. Evaluates cloud architectures, tunes security tools, develops response documentation, and partners with engineering, compliance, and leadership to improve security posture. Requires expertise in cloud and network security, programming, databases, CI/CD, Linux, SQL, and security technologies, plus a bachelor's degree and at least five years of public cloud experience.

Designs, develops, tests, and maintains cloud cybersecurity detection capabilities, including IDS/IPS signatures, log correlation rules, and detection logic across AWS, Azure, GCP, Splunk, and Elastic. Analyzes threat intelligence, cloud logs, and indicators to improve threat identification and reduce false positives. Collaborates with watch analysts, reporting agencies, and subscriber sites, maintains SOPs, supports compliance, and participates in evaluations and incident response surges.

Design, implement, and maintain scalable, secure cloud solutions (primarily GCP) using Infrastructure as Code, CI/CD, automation, and cross-functional collaboration to support R&D workloads and compliance requirements.

Design and build automation tools, dashboards, and systems to deploy and manage cloud-based infrastructure. Collaborate with cross-functional teams to analyze requirements, implement reliable full-stack solutions (React front-end, Go back-end), improve CI/CD pipelines, and maintain production stability while meeting government background/clearance requirements.

Design and build a greenfield product that reasons over large-scale data with agentic, LLM-backed systems. Architect high-throughput distributed systems, take AI prototypes to production, ensure reliability, cost and correctness, design safety guardrails for autonomous reasoning, and set engineering standards for quality, testing, and observability.

Design, develop, and operate globally distributed PlayStation Cloud Streaming infrastructure. Build Kubernetes controllers, operators, and lifecycle-management services; own features through deployment and production support; troubleshoot reliability and performance issues; write unit and integration tests; collaborate with SRE and platform teams; contribute to architecture, documentation, automation, and engineering standards; and use AI-assisted development tools responsibly.

Deploy, automate, and maintain AWS infrastructure using IaC and configuration management. Build CloudFormation templates and Ansible playbooks, manage GitHub versioning, configure monitoring and alerts, and maintain Jenkins CI/CD pipelines. Collaborate with security to implement controls and support multiple development teams on-site in Herndon, VA.

Design, implement, and manage cloud and hybrid infrastructure solutions (Azure/AWS/GCP/OpenStack) with high availability, storage (NetApp), Windows and Linux integration, automation (Bash, Python, Ansible, Terraform/CloudFormation), containerization (Docker, Kubernetes), and migration/POC support. Collaborate with architects and dev teams to build, document, and operate resilient managed services.

Design, build, deploy, and support Azure and AWS cloud infrastructure and hybrid solutions. Troubleshoot platform issues, implement changes and automation (Terraform/IaC), assist migrations and projects, coordinate with vendors, support disaster recovery and releases, provide training and on-call support, and deliver technical documentation and design artifacts.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.

Design, deploy, and maintain secure AWS/Azure GovCloud environments; implement IaC (Terraform/CloudFormation/ARM), IAM/RBAC/ZTA, cloud networking (VPC, VPN), container orchestration, monitoring, cost tracking, and ATO/RMF/NIST/FedRAMP compliance. Coordinate cross-Work Order resource allocation and reporting.

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.

Design, deploy, and operate production Kubernetes control planes for large GPU clusters. Implement GPU-specific scheduling, CRDs, multi-tenant isolation, BMaaS provisioning, Terraform-based IaC, monitoring, SLI/SLOs, and automated remediation workflows to enable autonomous AIOps-driven recovery and tenant self-service.

Design and build distributed systems for AI workloads, improve reliability and efficiency, and develop infrastructure automation tools.

Designs and operates multi-tenant SDN, VPC overlays, and high-performance InfiniBand or RoCE GPU network fabrics. Responsibilities include tenant isolation, cross-region routing, congestion control, network automation, change management, fault localization, architecture standards, security boundaries, and observability for a large-scale multi-region GPU cloud.

Front-line SRE covering 8AM–8PM PST monitoring GPU clusters, networking, storage, and sensors. Execute runbooks, perform hardware triage and physical DC tasks (rack, cable, swap), collect diagnostics for escalation, manage tickets (ServiceNow/Jira), update runbooks, and tag incidents to train the AIOps platform.

Deploy, operate, and optimize high-performance parallel/distributed storage systems for AI training and inference; implement multi-tenant isolation and GPU Direct data paths; instrument telemetry for storage-fault prediction; convert incidents into automated runbook-as-code; plan capacity, firmware, migrations, and DR for GPU clusters.

Design, implement, and maintain CI/CD and MLOps pipelines, provision and scale cloud-native AI infrastructure (Kubernetes, GPU clusters), enforce IaC practices, implement observability and security frameworks, lead incident response and cross-functional platform engineering to ensure high availability and compliance.

Lead end-to-end architecture of AI data center networks, DCI, and global backbone for large GPU clusters. Design underlay and overlay networks, IP/VLAN/VXLAN planning, congestion control (PFC/ECN/INT), and optical transport. Produce HLD/LLD, topology diagrams, standards, and SOPs; engage vendors and drive risk mitigation and network improvements.

Designs and integrates distributed and parallel storage systems into a multi-region GPU cloud. Responsibilities include storage provisioning, mounting, tenant isolation, quotas, lifecycle management, I/O performance tuning, replication, consistency, durability, monitoring, capacity planning, and operational runbooks. The engineer also owns golden images, GPU drivers, CUDA, templates, container registries, and multi-region release distribution while collaborating with compute, networking, and control-plane teams.