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Remote Amazon Work Jobs in Springfield, VA (NOW HIRING)

Cloud Platform Engineer

Mclean, VA · Remote

$56.25 - $75.25/hr

... Amazon ECS, Amazon EKS, or AWS Fargate * Proficiency with scripting or automation using Shell, PowerShell, Python, or JavaScript * Ability to work and produce results in an agile, fast-paced ...

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon ...

Senior DevOps Engineer - Remote USA

Reston, VA · Remote

$135K - $173K/yr

Our core work hours are 9am - 5pm Eastern Time with the option to start earlier or work later ... Implement Amazon CloudWatch, Splunk and other third party monitoring solutions to provide ...

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Remote Amazon Work information

See Springfield, VA salary details

$23K

$156.2K

$201.1K

How much do remote amazon work jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote amazon work in Springfield, VA is $156,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $174,400.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working a remote Amazon position?

A typical day in a remote Amazon role often involves scheduled log-in times, responding to customer inquiries or processing orders through online platforms, and managing tasks using Amazon's proprietary tools. Communication with supervisors and team members typically happens via chat, email, or virtual meetings. You may also be required to track your performance metrics and participate in ongoing training sessions. While the role is primarily independent, regular interaction and collaboration with your team are essential to ensure seamless operations and excellent customer service.

What are the key skills and qualifications needed to thrive in the Remote Amazon Work position, and why are they important?

To excel in Remote Amazon Work, candidates typically need strong organizational abilities, communication skills, and proficiency with computers, often supported by a high school diploma or equivalent. Familiarity with Amazon's platforms, customer service software, and basic productivity tools such as Microsoft Office or Google Workspace is highly beneficial. Outstanding time management, self-motivation, and problem-solving abilities set top performers apart in this role. These competencies enable remote employees to efficiently address customer or operational needs, collaborate virtually, and uphold Amazon’s service standards.

Does Amazon still offer remote jobs?

Yes, Amazon continues to offer remote job opportunities across various roles, including customer service, technical support, and administrative positions. These jobs often require strong communication skills and may involve flexible schedules or specific technical requirements. Remote positions are regularly posted on Amazon's careers website and are part of the company's ongoing remote work initiatives.

How much does Amazon pay remote workers?

Amazon remote workers' pay varies depending on the role, experience, and location, but many remote positions such as customer service or technical roles typically pay between $15 and $30 per hour. Salaries for specialized roles or higher-level positions can be higher, often exceeding $50,000 annually. Compensation may also include benefits like health insurance and flexible schedules.

Is there any remote job in Amazon?

Yes, Amazon offers a variety of remote jobs across different departments such as customer service, IT, and corporate roles. These positions often require strong communication skills, relevant experience, and sometimes specific certifications, and they typically involve working with Amazon's online platforms and tools.

What is a Remote Amazon Work job?

A Remote Amazon Work job allows employees or independent contractors to work for Amazon from home or another remote location. These roles can include customer service, data entry, virtual assistance, software development, and more. Requirements vary based on the position, but most roles require a reliable internet connection and strong communication skills. Remote Amazon jobs offer flexibility and the opportunity to work for a global company without commuting to an office.

Does Amazon really pay you to work from home?

Amazon offers remote work opportunities such as customer service, technical support, and other roles that typically pay competitive wages and provide regular paychecks. Employees working from home are paid according to the company's standard pay rates and schedules, often with options for direct deposit and performance-based incentives.
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Cloud Platform Engineer

Cloud Platform Engineer

Credence

Mclean, VA • Remote

$56.25 - $75.25/hr

Full-time

Posted 29 days ago


Job description

At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. 

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. 

We are seeking a Cloud Platform Engineer to support cloud modernization efforts for DoW customers. This role focuses on building, operating, and improving reusable cloud platform capabilities using AWS, Infrastructure as Code, CI/CD pipelines, automation, and containerization.

The ideal candidate will have hands-on experience supporting secure cloud environments, developing repeatable infrastructure patterns, improving deployment workflows, and helping engineering teams deliver workloads more efficiently. This role will work closely with Cloud Engineers, Solutions Architects, Cybersecurity Professionals, and customer stakeholders to design, deploy, troubleshoot, and improve secure AWS-based platform services.

Responsibilities include, but are not limited to:

  • Collaborate with Cloud Engineers, Solutions Architects, Cybersecurity Professionals, and customer teams to manage, modernize, and secure AWS-based platforms supporting DoW customers
  • Build, maintain, and improve reusable cloud infrastructure patterns using Infrastructure as Code tools such as Terraform and AWS CloudFormation
  • Support development and improvement of CI/CD pipelines for automated build, test, security scan, deployment, and release workflows
  • Assist application and engineering teams with onboarding workloads to platform services and standardized deployment patterns
  • Support containerized workload deployments using technologies such as Docker, Amazon ECS, Amazon EKS, and AWS Fargate
  • Troubleshoot infrastructure, pipeline, container, networking, permissions, and deployment issues across development, test, and production environments
  • Develop scripts and automation to reduce manual operational tasks and improve consistency, reliability, and delivery speed
  • Help maintain platform services related to monitoring, logging, access control, configuration management, patching, and operational support
  • Work with cybersecurity and compliance teams to ensure platform services and automation align with security, governance, and customer requirements
  • Research, evaluate, and recommend new tools, technologies, and engineering practices that improve platform reliability and developer experience
  • Document technical designs, deployment procedures, runbooks, reusable patterns, and operational processes

Requirements

  • Must be able to obtain and maintain a Public Trust
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field
  • Current CompTIA Security+ certification, or ability to obtain within the first 60 days
  • Current AWS certification, or ability to obtain within the first 90 days
  • 5+ years of experience in cloud engineering, platform engineering, DevOps, systems administration, infrastructure automation, or a related technical role
  • Hands-on experience with AWS environments and core services such as EC2, S3, IAM, VPC, Security Groups, RDS, EFS, CloudWatch, CloudTrail, and AWS Systems Manager
  • Working experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, or similar technologies
  • Experience developing, maintaining, or supporting CI/CD pipelines using tools such as GitLab CI/CD, Jenkins, GitHub Actions, AWS CodePipeline, or similar platforms
  • Hands-on experience with containerization concepts and tools such as Docker, Amazon ECS, Amazon EKS, or AWS Fargate
  • Proficiency with scripting or automation using Shell, PowerShell, Python, or JavaScript
  • Ability to work and produce results in an agile, fast-paced environment with dynamic deadlines
  • Strong written and verbal communication skills, including the ability to document technical processes and procedures.

Preferred Qualifications

  • AWS Associate, Specialty, or Professional-level certification
  • Experience with Terraform modules, remote state, workspaces, and reusable IaC patterns
  • Experience with Git-based workflows, branching strategies, merge requests, and code reviews
  • Familiarity with YAML and JSON for infrastructure, pipeline, and configuration definitions
  • Understanding of orchestration and automation tools such as Ansible, Jenkins, GitLab, AWS Systems Manager, or similar technologies
  • Experience with Kubernetes tooling such as Helm, ingress controllers, namespaces, or container registries
  • Experience supporting secure environments subject to federal, Public Trust, NIST, or similar compliance frameworks
  • Familiarity with monitoring, logging, and alerting tools such as CloudWatch, Splunk, OpenSearch, Prometheus, or Grafana
  • Familiarity with AI/ML concepts, generative AI tools, or AI-assisted development workflows
  • Familiarity with Active Directory or LDAP-based solutions
  • RHEL, Linux, or Windows Server administration experience