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Cloud Engineer United States, McLean Jobs

7 Job Offers

Lead Software Engineer, DevOps (Azure)(Cloud Operations Resilience Engineering)
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Lead DevOps Engineer (Azure) sought by Capital One to drive cloud resilience and innovation. Join the CORE Technology team to lead diverse projects, mentor engineers, and build robust cloud solutions using Python, Go, Docker, Kubernetes, and Terraform. Requires 4+ years DevOps experience, Unix/Li...
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United States , McLean;Plano;Richmond
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Salary
179400.00 - 225100.00 USD / Year
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Capital One
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Until further notice
Lead Software Engineer, Back End (Distributed Data & Computing Tools) (Cloud Operations Resilience Engineering)
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Lead Back End Software Engineer sought for Cloud Operations Resilience Engineering, focusing on distributed data & computing tools. Lead diverse tech projects and mentor developers, building robust cloud solutions (AWS, Azure, GCP) using Java, Python, Scala, or Go. Requires a Bachelor’s degree an...
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Location
United States , Plano; McLean; Richmond
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Salary
179400.00 - 225100.00 USD / Year
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Capital One
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Until further notice
Lead Software Engineer, Full Stack (Cloud Operations Resilience Engineering)
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Lead Full Stack Software Engineer role at Capital One’s Cloud Operations Resilience Engineering (CORE) division. Drive cloud infrastructure transformation using AWS, microservices, and languages like Python, Java, and Go. Lead diverse tech projects and mentor engineers in McLean or Richmond, VA. ...
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Location
United States , McLean, Virginia; Richmond, Virginia
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Salary
197300.00 - 225100.00 USD / Year
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Capital One
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Until further notice
Senior Lead Software Engineer, DevOps (Cloud Operations Resilience Engineering)
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Lead DevOps transformation at Capital One as a Senior Lead Software Engineer. You'll design resilient cloud-native solutions using AWS, Azure, or GCP within Agile teams. This role in McLean or Richmond offers a chance to pioneer technology with a competitive compensation and benefits package for ...
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Location
United States , McLean; Richmond
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Salary
209000.00 - 262400.00 USD / Year
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Capital One
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Until further notice
Lead Software Engineer, DevOps (Cloud Operations Resilience Engineering)
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Location
United States , McLean; Plano; Richmond
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Salary
179400.00 - 225100.00 USD / Year
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Capital One
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Until further notice
Junior Cloud Applications Engineer
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Launch your cloud engineering career by modernizing NOAA's critical weather systems on AWS. This junior role in McLean offers hands-on application refactoring, testing, and deployment within a federal Agile team. Ideal for those with 1-3 years' experience and AWS fundamentals, it includes remote ...
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United States , McLean
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Not provided
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BLN24
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Until further notice
Cloud Solutions Engineer
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Seeking a Cloud Solutions Engineer in McLean to operate and enhance a critical AWS-hosted application. You will utilize Vue, FastAPI, and PostgreSQL for full-stack development while ensuring security compliance and system resiliency. This role offers a competitive benefits package, strong work-li...
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Location
United States , McLean
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Not provided
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Leading Path Consulting
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Until further notice

About the Cloud Engineer role

Embark on a high-demand career path by exploring Cloud Engineer jobs, a pivotal role at the heart of modern digital transformation. Cloud Engineers are the master architects and builders of the virtual infrastructure that powers today's businesses, from streaming services and e-commerce platforms to financial systems and AI applications. This profession involves designing, implementing, and managing an organization's cloud computing strategy, primarily leveraging public cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The core objective is to create scalable, resilient, and cost-efficient systems that enable innovation and operational agility.

A Cloud Engineer's typical responsibilities are diverse and multifaceted. They are primarily responsible for architecting and deploying cloud infrastructure, which includes virtual networks, storage accounts, and computing resources. A significant part of their day-to-day work involves leveraging Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation to automate the provisioning and management of resources, ensuring consistency and repeatability. They also design for security and compliance, implementing identity and access management policies, encryption, and network security controls to protect sensitive data. Furthermore, Cloud Engineers are instrumental in ensuring system reliability and performance. They set up monitoring, logging, and alerting systems to gain observability into the health of applications and infrastructure, often using tools like Prometheus or cloud-native services. They also manage containerized applications using Docker and orchestration platforms like Kubernetes, enabling seamless deployment and scaling. Collaboration is key, as they frequently work alongside development teams to foster DevOps practices, building and maintaining continuous integration and continuous deployment (CI/CD) pipelines.

To succeed in Cloud Engineer jobs, a specific skill set is required. Foundational knowledge of at least one major cloud provider is essential, including understanding their core services for compute, storage, networking, and databases. Proficiency in scripting languages like Python, PowerShell, or Go is crucial for automation tasks. A strong grasp of networking fundamentals, including TCP/IP, DNS, and firewalls, is non-negotiable. Equally important are soft skills such as problem-solving, analytical thinking, and clear communication, as engineers must diagnose complex issues and explain technical concepts to non-technical stakeholders. While a bachelor's degree in computer science or a related field is common, many professionals enter the field with relevant certifications and hands-on experience. As businesses continue to migrate to and innovate within the cloud, the demand for skilled Cloud Engineers remains robust, offering a dynamic and rewarding career with opportunities for continuous learning and specialization in areas like security, data engineering, or machine learning.