Top Cloud Engineer Jobs

Develop and sustain Java-based software for large-scale distributed computing environments supporting the Intelligence Community. Responsibilities include full Agile lifecycle participation, software integration and testing, CI/CD and Infrastructure as Code deployments, containerized microservices development, Linux operations, troubleshooting, performance optimization, on-call support, and mentoring junior developers. The role requires an active Top Secret/SCI clearance with NSA Full Scope Polygraph.

Develop, integrate, test, maintain, and enhance mission-critical cloud software in a highly secure environment. Analyze requirements, troubleshoot defects and integration issues, evaluate performance, document technical work, and collaborate with software, systems, and test engineers throughout the software development lifecycle. Support cloud-based development and deployment activities while meeting complex customer and mission requirements.

Develop and maintain full-stack web applications supporting Intelligence Community collection initiatives and signal analysis workflows. Responsibilities span software design, Java and MERN-stack development, testing, documentation, deployment, troubleshooting, customer collaboration, and ongoing application maintenance. The role requires working in Linux environments, applying unit testing and test-driven development, using Git, and supporting reliable, high-performance products. An active TS/SCI clearance with polygraph and cloud certification are required.

Owns engineering, administration, scaling, and reliability for Microsoft Azure, Microsoft 365, Entra ID, and Azure Virtual Desktop environments. Serves as the Tier 3/4 escalation authority for cloud, identity, messaging, virtualization, and infrastructure issues. Designs Azure infrastructure, manages Zero Trust controls, supports SOC 2 compliance and incident response, aligns outsourced helpdesk operations, and automates tenant administration through PowerShell and Microsoft Graph API.

Owns engineering, administration, scaling, and reliability for Microsoft 365, Entra ID, Azure, and Azure Virtual Desktop environments. Serves as a Tier 3/4 escalation lead, manages identity and Zero Trust controls, supports Exchange Online and virtualization, collaborates on security and SOC 2 compliance, and automates tenant administration using PowerShell and Microsoft Graph API. The role also aligns outsourced helpdesk operations, develops SOPs, and leads complex troubleshooting and incident containment.

Supports and scales AWS and Azure cloud infrastructure in a FedRAMP-certified environment. Responsibilities include monitoring, production deployments, OS patching, incident response, troubleshooting, SLA management, Infrastructure as Code, automation, observability, security tooling, vulnerability remediation, and dashboard development. The role collaborates with DevOps, support, QA, and other stakeholders and participates in rotating Friday evening production deployments.

Build and operate cloud inference launch infrastructure for Claude across AWS, GCP, Azure, and future providers. Develop validation pipelines, CI/CD systems, performance benchmarks, shadow traffic testing, correctness checks, and observability. Integrate new model architectures and inference features, resolve cross-cloud reliability and performance issues, optimize accelerator usage, and reduce deployment cycle times. Collaborate with inference teams and cloud partners while owning large-scale distributed systems and automation end to end.

Design and operate backend services and infrastructure for Claude inference across AWS, GCP, Azure, and future cloud platforms. Build CI/CD deployment pipelines, multi-cloud abstractions, capacity and autoscaling systems, workload routing, and observability tooling. Collaborate with internal engineering and security teams and external cloud providers to launch reliable, cost-effective model-serving capabilities at massive scale. Analyze production performance, cost, and reliability issues and drive remediation.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

Design and build cloud platform services, APIs, automation, self-service infrastructure, CI/CD pipelines, and Infrastructure as Code. Develop production software and AI-enabled capabilities while improving reliability, security, observability, performance, compliance, and cloud cost efficiency. Troubleshoot distributed systems across applications, Kubernetes, networking, identity, data services, and deployment tooling. Collaborate with engineering, security, infrastructure, and data teams, own services through their lifecycle, and participate in on-call support and mentoring.

Designs, implements, and operates cloud-based HPC platforms supporting quantitative research and trading. Responsibilities include cloud architecture, HPC scheduling, containerization, software distribution, automation, CI/CD, monitoring, capacity management, benchmark optimization, and production support. Partners with researchers and engineers to deliver reliable, scalable, high-performance computing systems.

Owns a cloud services engineering team’s architecture, delivery, roadmap, product outcomes, and operational health. The manager partners closely with Product, remains hands-on with coding and AI-assisted development, improves DORA performance, manages dependencies, participates in on-call, develops engineers, leads hiring, and ensures reliable, secure delivery of data protection, security, and edge services.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

Designs, deploys, secures, and manages scalable Azure and AWS cloud infrastructure. Builds reusable Terraform modules, CI/CD pipelines, automation tooling, and containerized workloads. Implements cloud security, governance, networking, configuration management, and AI infrastructure. Partners with application owners, architects, and infrastructure teams to ensure compliant, reliable solutions. Monitors cloud usage, improves deployment processes, investigates risks, and provides rotating international 24/7 on-call support.

Manage and enhance Azure and AWS cloud infrastructure, including scalable IaaS and PaaS deployments, Infrastructure as Code, CI/CD automation, Kubernetes workloads, security governance, networking, and configuration management. The role develops reusable deployment tooling, supports AI infrastructure, monitors cloud environments, ensures compliance and operational efficiency, collaborates with architects and application owners, and participates in international 24/7 on-call support.

Designs, deploys, secures, and manages scalable Azure and AWS cloud infrastructure. Builds reusable Terraform modules and CI/CD automation, supports Kubernetes workloads, implements cloud governance and security controls, administers Linux and Windows environments, and monitors cloud usage and risks. Collaborates with application owners, architects, and infrastructure teams while providing rotating international on-call support.

Own and standardize Salient’s multi-cloud infrastructure across AWS, GCP, and Render. Responsibilities include Terraform-based infrastructure as code, capacity planning, autoscaling, cloud cost attribution and reduction, observability, incident response, reliability, and secure infrastructure supporting SOC 2 requirements. The role partners with engineering, product, finance, and leadership to improve platform consistency, scalability, auditability, and cost efficiency for real-time AI workloads.

Provides enterprise-level technical leadership for cloud automation across Azure and AWS. Defines cloud architecture standards, guardrails, Infrastructure as Code practices, automation strategies, and platform roadmaps. Leads modernization, migration, security, resiliency, governance, and integration initiatives; mentors engineering teams; and collaborates with architecture, security, operations, business, and regulatory stakeholders to deliver scalable, compliant, and reliable cloud platforms.

Designs, implements, and operates secure Azure Government cloud platforms for regulated and U.S. government environments. Responsibilities include building landing zones, governance controls, compliant architectures, and resilient infrastructure; addressing cloud security and infrastructure challenges; supporting audits, incident response, disaster recovery, and continuity initiatives; and providing technical leadership. The role also partners with security, compliance, legal, infrastructure, vendors, and service providers while mentoring engineering teams.

Manage, administer, support, and enhance AWS and Army cloud environments. Troubleshoot cloud infrastructure, networking, storage, compute, memory, and CI/CD pipeline issues. Develop enterprise cloud-native solutions, automate deployments across technical stacks, monitor environments, and improve operational reliability. The role also involves mentoring team members and requires Secret clearance, relevant certifications, and a degree or equivalent DevOps experience.

Manage, administer, support, and enhance AWS and Army cloud environments. Troubleshoot cloud infrastructure and CI/CD pipeline issues, develop enterprise cloud-native solutions, provision and triage compute, networking, memory, and storage resources, automate deployments, monitor environments, and support releases across environments. The role also requires independent problem-solving, collaboration, mentoring, and work within classified systems.

Manages, administers, supports, and enhances DoD cloud environments, primarily AWS. Designs and deploys cloud infrastructure and applications in secure IL-4 or higher environments, supports CI/CD pipelines and infrastructure automation, and contributes to RMF and ATO accreditation workflows. Works independently on moderately complex problems and may guide junior staff. Preferred experience includes IL-5/IL-6 environments, containers, Azure, cloud cost optimization, and continuous monitoring.

Designs, provisions, and operates secure, scalable cloud environments supporting AI, ML, LLM, and data engineering solutions. Builds Infrastructure as Code, DevOps pipelines, containerized and serverless deployments, observability platforms, and compliance guardrails. Reviews infrastructure designs, creates operational documentation, and leads cloud infrastructure decisions on client engagements. Collaborates with architects, engineers, client IT, and security teams across development and production environments.

Lead Azure FinOps activities: monitor and forecast cloud spend, build cost dashboards and allocation models, implement cost-optimization and governance (tagging, policies), automate reporting and controls with IaC and scripting, collaborate with architects and stakeholders to drive cloud cost-efficiency and support migration/modernization efforts.

Design, implement, and automate scalable, secure cloud infrastructure (primarily GCP) using IaC and GitOps. Establish observability, incident management, compliance with data privacy/regulatory standards, reduce operational toil via self-service workflows, and evangelize cloud best practices across engineering teams.