Top Cloud Engineer Jobs

Deploys and supports AWS cloud environments and Elastic Observability stacks across distributed mission networks. Responsibilities include containerized deployments with Docker and Kubernetes, automation with Ansible and infrastructure code, log/metric/trace pipelines, Kibana dashboards and alerts, ingestion troubleshooting, data retention policies, service onboarding, monitoring optimization, and technical documentation. The role collaborates with application and infrastructure teams and requires onsite work up to three days weekly in Fairfax, Virginia.

Design, operate, and improve AWS GovCloud infrastructure supporting mission-critical defense workloads. Responsibilities include Terraform-based IaC, high availability, disaster recovery, automation, infrastructure lifecycle management, monitoring, incident response, reliability standards, recovery testing, documentation, and cross-functional collaboration with application, cybersecurity, DevOps, and platform teams.

Lead the design, deployment, automation, and maintenance of secure digital forensics platforms across AWS, Azure, GCP, and on-premises environments. Build Terraform infrastructure, CI/CD pipelines, automation, cloud security controls, testing, monitoring, and resiliency capabilities. Collaborate with cybersecurity and cloud teams to support incident response, compliance, high availability, and platform governance. Review AI-assisted code and security recommendations while maintaining technical documentation and operational procedures.

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.

Designs, deploys, and operates AWS network infrastructure across cloud and on-premises environments. Maintains hybrid connectivity, Cisco routing and switching, VPNs, DNS, load balancing, security controls, monitoring, and network automation. Troubleshoots complex connectivity and performance issues, supports incident and change management, documents infrastructure, performs capacity planning, and collaborates with cloud, security, application, DevOps, and data center teams. Participates in on-call support for critical systems.

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.

Design, deploy, operate, and sustain AWS, Kubernetes, and hybrid cloud infrastructure across on-premises and restricted environments. Support compute, storage, networking, tenant services, resiliency, backup, recovery, patching, platform lifecycle, and Tier 3/4 troubleshooting. Partner with Infrastructure-as-Code engineers, maintain shared platform services, improve reliability and scalability, and participate in on-call production support. The role requires hands-on experience with classified cloud environments, Linux, networking, storage, container platforms, and mission-critical infrastructure.

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.

Designs, develops, integrates, tests, deploys, and maintains cloud-native applications and AWS infrastructure. Builds CI/CD pipelines, Infrastructure as Code solutions, and containerized deployments using Terraform, CloudFormation, Docker, and Kubernetes. Supports cloud modernization, monitoring, observability, security, troubleshooting, scalability, resiliency, and high availability while collaborating with software, systems, and cloud engineering teams in Agile environments.

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.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Build and manage cloud-native infrastructure, including Kubernetes clusters, cloud resources, CI/CD pipelines, GitOps workflows, and infrastructure-as-code automation. Support secure edge-to-cloud solutions, optimize scalability and reliability, maintain engineering documentation, and collaborate with cybersecurity, architecture, product, and software teams. The role partners with global Agile teams to deliver secure, repeatable platform solutions and strategic infrastructure initiatives.

Builds and maintains secure cloud automation, infrastructure-as-code, CI/CD pipelines, secrets management, release automation, and deployment evidence. The role provisions and secures Azure Government and other cloud environments, supports Databricks platforms, integrates vulnerability and compliance controls, and ensures auditable, resilient deployments aligned with federal standards. Collaboration with security, architecture, SRE, QA, engineering, and government stakeholders is required.

Design, operate, and automate hybrid infrastructure across Azure and on-premises hyperconverged environments. Build infrastructure-as-code solutions with Terraform and Ansible, develop reusable platforms, troubleshoot issues across cloud and infrastructure layers, and embed SRE practices. Partner with application, security, and business teams on resilient architecture, document standards and runbooks, support incident response, and reduce reliance on managed-service providers through automation and monitoring.

Designs and operates scalable cloud infrastructure, distributed systems, AI training and inference platforms, backend services, media-processing pipelines, and CI/CD tooling. The role focuses on high-throughput production environments, GPU workload management, model serving, observability, incident response, and optimizing latency, reliability, and cost across user-facing AI products.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads enterprise Azure and multi-cloud infrastructure strategy, architecture, modernization, and delivery. Designs infrastructure-as-code solutions with Terraform, automates configuration using Ansible, and builds GitHub Actions CI/CD pipelines. Establishes cloud governance, security, networking, resilience, and operational standards; leads complex infrastructure initiatives; directs an MSP engineering team; manages escalations, service quality, and SLAs; and mentors engineering staff.

Participate in AHEAD’s associate development program and complete technical training focused on public cloud solutions. Develop cloud engineering and consulting skills through certifications, shadowing, teamwork, problem-solving, and client project delivery. Candidates must have working knowledge of cloud solutions, be willing to travel more than 50% of the time, and possess existing U.S. work authorization without requiring visa sponsorship.

Leads enterprise observability strategy and implementation across cloud, infrastructure, applications, and AI platforms. Designs monitoring, logging, tracing, and telemetry solutions; improves reliability, availability, scalability, and operational efficiency. Serves as a technical escalation point, develops resilient cloud patterns, automates processes, supports incident resolution, advises stakeholders, mentors engineers, and ensures compliance with technical and contractual requirements. Requires advanced cloud, systems engineering, scripting, virtualization, DevOps, troubleshooting, and stakeholder management experience.

Build and maintain full-stack web applications, APIs, backend services, integrations, and event-driven data pipelines. Collaborate on architecture, product requirements, code reviews, testing, troubleshooting, and engineering standards. Contribute to scalable, secure, reliable software while mentoring engineers and supporting development-process improvements.

Own and improve Azure cloud infrastructure across compute, networking, storage, security, policy, and IAM. Build infrastructure as code using Bicep, ARM Templates, CLI, and PowerShell. Drive DevOps pipelines and CI/CD delivery while establishing cloud automation and standardization practices within a growing cloud platform team.

Design, configure, and support AI agents and agentic applications within Oracle Fusion Cloud. Translate business requirements into AI-enabled solutions, develop workflow agents and automations, configure integrations, and troubleshoot security, data, performance, and production issues. Support testing, deployment, documentation, governance, and compliance while evaluating new Oracle AI capabilities. Collaborate with stakeholders and mentor team members.

Develop, deploy, manage, and secure cloud-based container platforms for clients. Build container management software, support orchestration, advise on cloud strategy and architecture, enforce compliance standards, and help clients adopt container technologies securely. Maintain AWS or Azure computing environments, manage infrastructure-as-code, Git-based version control, and CI/CD pipelines while supporting critical cloud platform development.