Top Cloud Engineer Jobs

Architects, designs, implements, and supports secure enterprise infrastructure across AWS, Azure, and on-premises environments. Leads hybrid cloud adoption, modernization, networking, virtualization, storage, identity, disaster recovery, automation, and infrastructure security initiatives. Develops technical designs, documentation, standards, and runbooks; serves as a Tier 3/4 escalation point; optimizes reliability, performance, capacity, and cost; leads root-cause analysis and infrastructure projects; participates in on-call support and mentors junior engineers.

Designs, develops, tests, deploys, integrates, and sustains cloud-native applications across the full technology stack. Builds responsive front ends, scalable microservices, APIs, event-driven systems, CI/CD pipelines, and automated testing processes. Collaborates with software, data, DevSecOps, cyber, and systems engineers to transition prototypes into operational mission solutions. Responsibilities include architecture reviews, requirements analysis, troubleshooting, performance optimization, code reviews, mentoring, and Agile Scrum participation.

Secure and accredit multi-tenant, multi-classification cloud environments across development, integration, and test enclaves. Implement JSIG, NIST, STIG, RMF, and ATO requirements; maintain SSPs, POA&Ms, and continuous-monitoring evidence; validate vulnerability, application-security, container, and infrastructure-as-code outputs; support secure cloud and DevSecOps design; and provide cybersecurity guidance for capability-provider artifacts and promotion decisions.

Designs, builds, and operates secure, scalable AWS and Azure cloud infrastructure across multi-account environments. Develops Infrastructure as Code, CI/CD pipelines, automation, observability, and IAM governance. Supports production reliability, incident response, FinOps, FedRAMP and HIPAA compliance, and AI-assisted engineering practices. Partners with product, security, and engineering teams to establish cloud standards, guardrails, and reference architectures.

Designs and leads secure, scalable AWS cloud architectures for mission-critical federal applications. Responsibilities include cloud modernization, AWS solution design, containerized and serverless platforms, DevSecOps, Infrastructure as Code, cybersecurity compliance, AI-enabled workloads, reliability, performance, cost optimization, architecture governance, technical leadership, and mentoring. The role supports FDA and federal requirements, including NIST, FISMA, FedRAMP, Zero Trust, and Public Trust authorization processes.

Designs, implements, and optimizes hybrid infrastructure across Nutanix/VMware, AWS, and Azure. Leads cloud modernization, governance, security, automation, and Infrastructure-as-Code initiatives; provides Tier 3 support and root-cause analysis; oversees patching, monitoring, capacity planning, disaster recovery, and cost optimization. The role also guides architecture strategy, documents solutions, manages complex infrastructure projects, and mentors team members on hybrid cloud best practices.

Drive technical sales for Azure cloud and AI infrastructure solutions. Lead architecture sessions, workshops, demos, proofs of concept, and migration or modernization initiatives. Design secure, scalable hybrid-cloud architectures for Windows, SQL, Linux, PostgreSQL, Oracle, and enterprise applications. Advise customers on networking, resiliency, compliance, containers, AKS, Azure Arc, SAP, VMware, and partner technologies while collaborating with engineering and business stakeholders.

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.

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.

The Senior Cloud Engineer will manage Kubernetes clusters, implement PaaS features, optimize infrastructure, and enhance operational excellence while mentoring peers.

The Cloud Platform Engineer will lead the delivery of the Flyways AI Platform, deploying, maintaining, and scaling secure cloud infrastructure while collaborating on coding software solutions with product engineers.

Provides multi-cloud engineering and programming support for secure broadcast systems. Responsibilities include AWS cloud services and API configuration, Python and other scripting, Linux system administration, patching, firmware upgrades, cloud troubleshooting, network routing and switching, video encoding and streaming, communications systems, and installation and operation of broadcast equipment.

Design and develop Google Cloud Platform solutions, operationalize cloud service integrations, establish cloud processes, and apply best practices for machine learning and analytics environments. The role also recommends security models, controls, and processes for effective cloud analytics. This is a full-time, permanent, onsite position in Richfield, Minnesota, requiring approximately 8–12 years of experience and cloud data engineering certification.

Supports enterprise cloud and IT infrastructure engineering for an Intelligence Community customer. Provides technical recommendations, alternatives analysis, configuration management, infrastructure planning, deployment, security, operations, service standardization, transition planning, troubleshooting, and risk analysis. The role also supports collaboration services, enterprise tools, system compatibility, and government communication systems while providing leadership and mentoring.

Operate and optimize cloud platforms, automate infrastructure, build CI/CD pipelines, and support cloud-native deployments. Diagnose web application issues through code and log analysis, implement monitoring and alerting, troubleshoot distributed systems, and help software teams onboard to client platforms. The role supports a large-scale U.S. Air Force government program and requires obtaining Secret clearance and specified cloud and DoD certifications.

Operate and optimize cloud platforms, automate infrastructure, develop CI/CD pipelines, and support cloud-native deployments. Troubleshoot distributed systems and web application issues using code and log analysis. Build onboarding paths for development teams, implement monitoring and alerting, and assist with cloud migrations and solution design. The role supports a large-scale U.S. Air Force government program using AWS, Azure, or GCP, Kubernetes, Terraform, Python, and GitLab.

Provides cloud software research, development, integration, testing, sustainment, and issue resolution for federal government customers. Designs applications and web services, develops Hadoop and big-data analytics, manages distributed cluster performance, configures cloud platforms, and documents technical architectures, schemas, APIs, and ontologies. Requires substantial programming experience, Hadoop/cloud certification, TS/SCI clearance with agency-appropriate polygraph, and expertise in distributed data systems, RESTful services, analytics, and Windows or Linux environments.

Leads the design, implementation, and management of secure, scalable Azure cloud platforms. Responsibilities include Azure landing zones, governance, networking, identity, firewall and connectivity architecture, Infrastructure as Code, automation, CI/CD pipelines, monitoring, cost optimization, and performance troubleshooting. The role uses Terraform, Ansible, Harness, scripting, GitHub, and JFrog Artifactory while applying DevSecOps practices. It also supports emergency restoration assignments and may require travel between Massachusetts, Connecticut, and New Hampshire.

Designs, develops, and optimizes scalable Azure-based data engineering solutions, including lakehouses, warehouses, ETL/ELT pipelines, Databricks notebooks, and analytics workflows. The role supports enterprise reporting, AI and machine learning initiatives, feature engineering, Generative AI, and MLOps. Responsibilities include performance tuning, CI/CD automation, production support, technical design, lifecycle management, stakeholder collaboration, and translating business requirements into secure, reliable data platforms.

Designs, implements, and operates secure, scalable cloud and virtualization environments for a DoD customer. Leads cloud migrations, integrations, testing, architecture, systems engineering, and compliance with DoD cloud policies. Requires expertise in AWS, networking, firewalls, Linux, BGP, VPNs, automation, and AWS GovCloud. Provides technical leadership, client consultation, troubleshooting, mentoring, strategic planning, and occasional after-hours support.

Architect, deploy, administer, secure, and troubleshoot Azure cloud infrastructure in DoD IL5 and IL6 environments. Responsibilities include Azure IaaS/PaaS, networking, firewalls, routing, DNS, Linux/RHEL systems, containers, documentation, cost optimization, compliance with DoD policies and STIGs, and mentoring cloud engineers. The role requires hands-on technical leadership, complex solution design, customer collaboration, and active Secret clearance in the Chantilly, Virginia area.

Develop and deploy scalable cloud-native applications supporting enterprise compute and data analytics platforms. Responsibilities include software design, development, integration, maintenance, requirements analysis, testing, troubleshooting, and secure deployment within Agile teams. The role requires working with Linux and programming languages such as Java, Python, or C++, with cloud, containerization, orchestration, DevOps, and Infrastructure as Code experience preferred.

Develops software and data solutions for intelligence-community data management. Responsibilities include extracting value from structured and unstructured data, applying statistical and machine-learning methods, developing data characterization and ingestion techniques, creating database queries, supporting web applications, analyzing requirements, and leading software development teams. The role requires software engineering experience, cloud and data-processing knowledge, and a TS/SCI clearance with polygraph.

Develop and maintain scalable cloud-native software for cyber intelligence missions. Responsibilities include full lifecycle software development, AWS cloud architecture, distributed systems, integration, testing, deployment, monitoring, troubleshooting, sustainment, and technical mentoring. The role also involves integrating COTS/GOTS products, supporting Agile/Scrum development, planning tasks, and contributing to technical design reviews.