Cloud Engineer jobs in United States
Explore 355 matching jobs.
Principal Cloud Computing Engineer
SAIC
Posted: 10/20/2026Cloud Platform Engineer – Entry Level
Credence
Posted: 10/20/2026Cloud Application Engineer
ARETUM
Posted: 10/20/2026Director, Marketing Cloud Architecture
Salesforce
Posted: 10/20/2026Senior Manager, Cloud Engineering
Homes 4 Rent
Posted: 10/20/2026Lead Cloud Engineer, Azure
Egen
Posted: 10/20/2026Senior Hybrid Cloud Engineer
The Aerospace Corporation
Posted: 10/19/2026Senior Software Engineer – Cloud Platform, Data Plane Transport
Alteryx
Posted: 10/19/2026Presales Solutions Engineer – Cloud Security
SHI International Corp.
Posted: 10/19/2026Senior Multi-Cloud Architect
Leidos
Posted: 10/19/2026Secure Cloud Architect
Booz Allen Hamilton
Posted: 10/19/2026Cybersecurity Specialist, Cloud Engineer
SAIC
Posted: 10/19/2026Cloud Engineer
SteerBridge
Posted: 10/19/2026Senior Cloud Architect – Data Services
Akamai Technologies
Posted: 10/19/2026Director, Technical Program Management – Connectivity and Cloud Infrastructure
Capital One
Posted: 10/19/2026Manager, Private Cloud Services
New York University Tisch School of the Arts
Posted: 10/19/2026Senior Software Engineer, Cloud Engineering
Mozilla
Posted: 10/19/2026Cloud Engineer, Google Cloud Platform
Valtech
Posted: 10/19/2026Senior Cloud Engineering Leader
Cisco
Posted: 10/19/2026Senior AI Engineer, AWS
General Dynamics Information Technology
Posted: 10/19/2026Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying secure, highly available cloud environments in AWS and OCI, with a strong focus on infrastructure as code, CI/CD pipelines, and data pipeline automation using Python. Proficient in implementing security controls and compliance measures while effectively collaborating with customers and managing project delivery.
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, deploy, and migrate secure, highly available environments in AWS and OCI, including network, identity, compute, storage, database, and Kubernetes components
- Architect and deploy compliant enclaves meeting government security requirements, including SCCA, DoD cloud security, and FedRAMP
- Develop and maintain infrastructure as code and CI/CD pipelines for infrastructure, applications, and data workloads
- Design, build, and operate Python data pipelines that ingest, validate, transform, and publish data into cloud data stores
- Apply AI and LLM services, such as Amazon Bedrock, to automate operations and data work including incident triage, runbook generation, and pipeline classification
- Implement and maintain security controls including IAM, network segmentation, encryption, and secrets management
- Run vulnerability and configuration scans, including ACAS, and track findings to closure
- Monitor and tune performance, cost, and availability; diagnose and resolve complex issues with minimal downtime
- Maintain designs, diagrams, asset inventories, SOPs, and the knowledge base
- Train and assist users and teammates
- Work directly with customers and own delivery from design through production support
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, or a related field and 9 years of experience, or Master’s degree and 7 years of experience
- Security+ Certification
- Candidates must be U.S. Citizens
- Candidates must have an interim Secret clearance before starting and have the ability to get a Secret clearance
- Hands-on cloud engineering on AWS and/or OCI: compute, storage, virtual networking, load balancers, managed databases, and IAM
- Strong infrastructure as code skills; Terraform preferred
- Python proficiency for automation and data pipelines; Bash or PowerShell
- Experience building or operating data pipelines (batch, scheduled, or event-driven)
- CI/CD experience with GitLab, Jenkins, or similar
- Working knowledge of containers and Kubernetes
- Monitoring and logging experience, such as CloudWatch, OCI Monitoring, Prometheus, or Grafana
- Practical experience, or demonstrated ability, applying AI and LLM services to automation and data workflows
- Solid understanding of cloud security best practices
- Experience preparing technical documentation
- Strong problem-solving and communication skills; ability to work with senior customers, collaborate in a distributed team, and manage multiple priorities
ATS Keywords
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