Top Cloud Engineer Jobs

The Cloud Security Engineer will secure cloud infrastructure, implement solutions for systemic risks, and support internal projects using Kubernetes and service mesh technologies.

Lead and architect enterprise Kubernetes platforms (EKS/GKE), automate resource management and scaling (Karpenter, ScaleOps), implement IaC and CI/CD, apply FinOps to optimize cost, improve observability, mentor engineers, and drive platform resilience and operational excellence.

Lead design, automation, and operation of BlackLine's cloud-native platform services. Architect Kubernetes-native and serverless systems, design event-driven pipelines, champion security and observability, own CI/CD strategy, mentor engineers, and drive cross-functional platform initiatives.

Operate and scale multi-cloud environments and cloud-native infrastructure. Manage databases, DevOps toolchains, and Kubernetes clusters. Deploy and scale open-source software, build monitoring sensors, contribute or author code, lead small projects, troubleshoot production issues, interact with customers on cloud-native architecture, and share on-call responsibilities.

Deploy, automate, and maintain multiple teams' AWS infrastructure using CloudFormation and Ansible; manage IaC in GitHub; configure ELBs, auto-scaling, CloudWatch, and S3; build and maintain Jenkins CI/CD pipelines; assist security with controls and compliance; monitor and troubleshoot Linux servers and scripts.

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.

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.

Design, develop, and deploy modular cloud-based systems; build and maintain cloud solutions on AWS; develop software (Java, Python, C++, Ruby); implement CI/CD using GitHub/Jenkins; identify and remediate infrastructure vulnerabilities; support clients, recommend improvements and cost efficiencies; work on Agile Scrum teams and document system engineering and open-source technology usage.

Design, architect, and implement secure AWS cloud-native solutions for DoD clients. Support hybrid and air-gapped environments, microservices, and IaC while ensuring compliance with DoD STIGs/CIS Benchmarks and security classifications. Advise on migration strategy, troubleshoot deployments, and meet certification and clearance requirements.

Design, architect, deploy, and maintain cloud solutions with Azure; migrate on-prem systems to cloud; administer and secure Microsoft 365 services; automate with PowerShell and Terraform; perform risk assessments, troubleshooting, post-migration support, documentation, and cost optimization. Must hold TS/SCI with polygraph and work on-site.

Maintain and optimize Azure-hosted IaaS/PaaS workloads, drive IaC deployments with Terraform, automate operations and CI/CD, troubleshoot incidents, support DR/high-availability, enforce security controls, and lead cloud cost optimization across Azure and AWS.

Senior individual contributor who defines multi-cloud infrastructure standards and reference architectures, authors reusable Terraform IaC, drives Kubernetes production patterns, leads CI/CD and observability practices, advises on security and cost optimization, mentors senior engineers, and shapes pre-sales technical solutioning across AWS, GCP, and Azure.

Lead design, build, and deploy enterprise-grade AI solutions (RAG, agentic systems, LLM integrations). Use AI-assisted development tools daily, architect scalable secure systems on AWS, write production code, own end-to-end outcomes, evaluate vendors, and drive cross-team alignment and automation to improve operational stability.

Provide org-wide technical leadership for a cloud-native platform: define multi-cloud Kubernetes control-plane architecture, solve multi-cluster/multi-tenant reliability and isolation, design control planes/operators and infrastructure abstractions, guide hyperscaler strategy and tradeoffs, mitigate high-risk initiatives, and mentor senior engineers across teams.

Lead technical direction for a multi-cloud, Kubernetes-based platform: design control planes, multi-cluster topology, workload isolation, identity/trust fabric, and reliability at scale. Drive architecture across teams, build critical control-plane components and operators, influence hyperscaler strategy, and mentor senior engineers.

Lead design and implementation of Kubernetes-based cloud platform capabilities across Azure and GCP. Build operators, reusable abstractions, platform tooling, and improve monitoring, observability, deployment patterns, reliability, and developer experience. Drive architecture, on-call/incident response, cross-team technical influence, and mentor engineers.

Design, build, and operate secure, scalable AWS cloud platforms using IaC (Terraform), Kubernetes/EKS, and automation. Implement SRE practices, build reusable platform tooling (Python/Go), integrate security and compliance, improve observability and incident response, and collaborate with architecture, security, and application teams to support production environments.

Lead technical delivery of cloud-native, microservices-based applications. Design, develop, and maintain secure, scalable systems; drive adoption of AI-assisted engineering practices, CI/CD, automation, and resilient architectures. Mentor engineers, lead code quality and operational stability efforts, and collaborate with stakeholders to deliver production-ready solutions.

Architect, deploy, and operate secure, scalable Azure infrastructure and IAM for mission-critical spacecraft and satellite systems. Implement IaC, security controls aligned to compliance frameworks, ZTNA, and standardized deployment patterns. Collaborate across IT, InfoSec, and networking to maximize availability, reliability, and security for production workloads.

Lead a team of developers to build cloud solutions, mentor engineers, stay updated on tech trends, and deliver robust systems using various programming languages and frameworks.

Lead a team of developers in creating full stack cloud-based solutions, focusing on resilience and regulatory needs, while mentoring peers.

As a Lead Data Engineer, you will develop cloud-based data solutions, collaborate with teams, and stay updated on technology trends to drive data transformation.

Own and build Grow Therapy's data security infrastructure: automated data classification, field-level masking/tokenization, encryption and key management, secure data connectors to AI tooling, and access controls. Define a multi-year vision, implement pipelines and services, and partner across Data, Engineering, and Detection & Response to make secure-by-default the company standard.