Top Cloud Engineer Jobs

Supports the Cloud Services team by enabling developer productivity and delivering Azure-based cloud solutions. The co-op will gain experience with Azure services, automation, DevOps integration, container platforms, cloud operations, and technology modernization. Responsibilities involve solving large-scale technical challenges, supporting business needs, collaborating with team members, and developing cloud engineering skills through meaningful project work, mentorship, and professional development.

Support and maintain Oracle Fusion Cloud platform, build and monitor integrations (OIC), assist OCI administration, provide day-to-day SCM and P2P ERP support, manage IAM tasks, document configurations, assist testing and release activities, and evaluate Oracle Fusion AI features under senior guidance.

Leads the architecture, development, deployment, and operation of enterprise AI Ops solutions, including RAG pipelines, agentic workflows, and AI-powered applications. Improves SRE practices, leads incident response, automates cloud infrastructure with Terraform and GitHub Actions, and ensures reliability, scalability, security, and responsible AI. Designs and operates software using Python and Node.js, manages Kubernetes environments, mentors engineers, and leads globally distributed technical teams.

Lead design and implementation of AI Ops solutions (RAG, agentic workflows) with enterprise reliability and responsible AI. Improve SRE practices, lead incident response, automate infrastructure with Terraform and GitHub Actions, operate Kubernetes clusters, and develop software using Python and Node.js while mentoring globally distributed teams.

Maintain and modernize UNIX server infrastructure and lead cloud migration to Azure. Build and operate CI/CD and DevSecOps pipelines, implement IaC (ARM/Bicep/Terraform), automate configuration management, ensure security and performance, and troubleshoot critical incidents across hybrid cloud environments.

Maintain and secure UNIX infrastructure while leading cloud migration to Azure. Build and operate CI/CD pipelines, automate system configuration with IaC and configuration-management tools, manage containers, perform root-cause analysis on incidents, and ensure hybrid-cloud operational consistency and compliance.

Lead migration and modernization of Windows workloads to Azure, design and maintain Azure DevOps CI/CD pipelines and IaC (ARM/Bicep/Terraform), automate via PowerShell/REST, manage Windows servers and containerized workloads (AKS, Docker, Tanzu), enforce security/compliance (CMMC, STIGs, CIS), and mentor junior engineers.

Maintain and secure UNIX infrastructure while leading migration of legacy workloads to Azure. Build and manage CI/CD pipelines, automate system configuration with IaC and configuration-management tools, troubleshoot incidents, and operate containers (Docker, Kubernetes) across a hybrid cloud environment.

Design, build, and operate secure Azure Government and AWS GovCloud environments. Create reusable IaC modules and CI/CD pipelines, implement landing-zone standards, automate tooling, support application teams, ensure compliance (CMMC/NIST), provide incident response, and produce documentation and reference architectures.

Design, implement, and maintain full-stack cloud-based software solutions for a DoD customer. Collaborate with stakeholders, apply DevOps practices, build cross-network portable and secure applications, and document operations and maintenance standards.

The Software Engineer III will develop secure, scalable code for CrowdStrike’s asset management solutions, collaborating with multiple teams and focusing on high-quality deliverables.

Lead engineer for the Enterprise Observability Platform building secure, scalable cloud-native observability solutions. Designs and delivers production code, drives automation and remediation, leads vendor evaluations and communities of practice, promotes AI-assisted engineering and validation standards, and ensures CI/CD, resiliency, and security across the SDLC.

Build and operate secure, resilient AWS cloud foundation services using Java/Go. Design, develop, test, and automate production code, reduce operational burden, lead architecture/vendor evaluations, promote AI-assisted engineering practices, and drive reuse and validation standards across teams.

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 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.

The Cloud Engineer III designs cloud services, automates operations, enhances reliability, and collaborates with teams while addressing incidents.

Own and evolve a multi-region AWS WorkSpaces serverless VDI platform: design, build, automate, and troubleshoot production systems (Lambda, SQS, DynamoDB, SNS). Lead DR, Terraform IaC, Datadog observability, WorkSpaces lifecycle operations, mentor engineers, and ensure security and compliance for a regulated fintech environment.

The Desktop Engineer will manage the VDI environment, ensuring access to crucial applications and optimizing performance for financial services, with a focus on AWS solutions.

Leads enterprise AWS cloud security architecture, engineering standards, guardrails, automation, governance, and operating models. Advises leadership, resolves complex security challenges, integrates AWS with IAM and cybersecurity ecosystems, and secures cloud-native workloads, infrastructure, applications, and data. Applies AI-assisted development responsibly while ensuring security, compliance, privacy, resilience, and regulatory alignment. Collaborates across cybersecurity, infrastructure, application development, risk, and data protection teams.

Leads enterprise AWS cloud security architecture, engineering standards, guardrails, automation, governance, and operating models. Advises leadership, secures cloud-native and containerized workloads, integrates IAM and cybersecurity platforms, and drives secure cloud transformation in regulated environments. Partners across engineering, infrastructure, risk, application development, and security teams while applying AI-assisted development responsibly and aligning solutions with compliance, privacy, resilience, and ethical requirements.

Serve as the technical leader for enterprise AWS cloud security. Define security architecture, engineering standards, guardrails, automation frameworks, governance, and operating models. Advise leadership, resolve complex enterprise challenges, and collaborate across cybersecurity, infrastructure, IAM, data protection, risk, and application teams. Secure cloud-native workloads, integrate enterprise security ecosystems, apply AI-assisted development responsibly, and ensure compliance, resilience, privacy, and operational objectives.

Architect, build, and operate multi-cloud (AWS/Azure) network infrastructure across classified environments (IL-4/5/6+) supporting DoD/IC programs. Lead cloud network design, IAM, boundary protections, RMF/ATO support, STIG/SCA remediation, and compliance with NIST 800-53 and related NSS frameworks.

Design, build, and maintain developer APIs and tooling for Kafka; refactor Java/Spring code; implement CI/CD pipelines; ensure platform reliability and incident response; support high-volume Kafka platform operations; deploy secure cloud-native services on OpenShift using Kubernetes and observability tools like Datadog.

Design, build, and operate reliable cloud infrastructure and Kubernetes platforms at global scale. Responsibilities include service mesh implementation with Istio, infrastructure automation, infrastructure as code, CI/CD, observability, capacity planning, performance tuning, security, incident response, and on-call support. The role also develops Kubernetes tooling and integrates AI/ML-enabled solutions to improve engineering outcomes.

Design, build, and operate scalable cloud infrastructure and Kubernetes platforms. Develop service mesh and Istio solutions, automate infrastructure and application deployments, improve observability and reliability, troubleshoot production environments, and support security, performance, and cost optimization. Participate in on-call operations and apply AI/ML-enabled tools to improve engineering workflows.