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Remote Sewing Machine Operator Jobs in Chantilly, VA

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. • Migrate source data ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide ... Author robust standard operating procedures governing the authoring, development, validation ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide ... Author robust standard operating procedures governing the authoring, development, validation ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ... Collaborating with other data scientists, software developers, operators, project managers, and ...

SAIC

Data Scientist Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a Data Scientist Principal ... Collaborating with other data scientists, software developers, operators, project managers, and ...

Posted today

CPMC LLC

Systems Engineer

Vienna, VA · Remote

... machine learning. RESPONSIBILITIES This position shall perform the following (to include but not ... operating in virtualized or remote access environments, as applicable. * Monitor device health ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... Traditional, heavy machine learning model development is not a primary expectation for this role ...

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Remote Sewing Machine Operator information

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How much do remote sewing machine operator jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote sewing machine operator in Chantilly, VA is $16.63, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $17.74 per hour, depending on experience, location, and employer.

What is a remote sewing machine operator?

Remote Sewing Machine Operators are skilled professionals who operate sewing machines from a remote location, often using specialized equipment or technology to control machines in a factory or production setting. This role typically involves assembling garments, textiles, or other products by sewing materials together according to specifications. Operators may receive instructions and monitor progress through digital platforms, allowing them to work from home or off-site locations. This job requires strong sewing skills, attention to detail, and the ability to troubleshoot machinery remotely.

What are the key skills and qualifications needed to thrive as a remote sewing machine operator?

To thrive as a Remote Sewing Machine Operator, you need proficiency in operating various sewing machines, a solid understanding of fabric types, and prior experience or formal training in garment production. Familiarity with digital work order systems, basic troubleshooting tools, and, in some cases, certifications in industrial sewing are commonly required. Strong attention to detail, time management, and the ability to communicate effectively in a remote environment help operators stand out. These skills ensure high-quality, efficient production and smooth collaboration with remote teams, which are essential for meeting client expectations and deadlines.

What are the main challenges of working as a remote sewing machine operator, and how can they be addressed?

One of the main challenges for Remote Sewing Machine Operators is maintaining consistent communication and quality standards while working independently. Without direct on-site supervision, it's important to follow detailed instructions, participate in virtual check-ins, and utilize video calls or photo sharing for quality assurance. Additionally, ensuring your home workspace is ergonomically set up and free from distractions can help maintain productivity and prevent fatigue. Proactively seeking feedback and staying organized with production schedules will also contribute to success in this remote role.

What is the difference between Remote Sewing Machine Operator vs Remote Textile Assembler?

AspectRemote Sewing Machine OperatorRemote Textile Assembler
Required SkillsMachine operation, sewing techniques, attention to detailAssembly skills, fabric handling, basic sewing
Work EnvironmentHome-based or remote sewing setupHome-based textile assembly
CertificationsNone typically required, some sewing certifications helpfulNone typically required
Industry UsageApparel, upholstery, custom sewingTextile manufacturing, product assembly

Remote Sewing Machine Operators and Remote Textile Assemblers both work in textile-related industries and often operate from home. While sewing operators focus on detailed sewing tasks with specific machines, textile assemblers handle broader fabric assembly processes. Both roles require basic sewing skills and are suitable for remote work, but sewing operators typically need more specialized knowledge of sewing techniques.

How much do remote sewing machine operators make in the US?

Remote sewing machine operators in the US typically earn between $25,000 and $45,000 annually, depending on experience, skill level, and the complexity of tasks. Many positions are part-time or freelance, with some requiring proficiency in sewing machines and pattern reading. Compensation can vary based on the employer and geographic location, even for remote roles.

What are popular job titles related to Remote Sewing Machine Operator jobs in Chantilly, VA?

For Remote Sewing Machine Operator jobs in Chantilly, VA, the most frequently searched job titles are:

What job categories do people searching Remote Sewing Machine Operator jobs in Chantilly, VA look for?

The top searched job categories for Remote Sewing Machine Operator jobs in Chantilly, VA are:

What cities near Chantilly, VA are hiring for Remote Sewing Machine Operator jobs?

Cities near Chantilly, VA with the most Remote Sewing Machine Operator job openings:

Remote Sewing Machine Operator jobs near you

AWS Cloud Infrastructure Engineer - RPA Operations (REMOTE)

Koniag, Inc.

Arlington, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

Tuknik Government Services,a Koniag Government Services company, is seeking an AWS Cloud Infrastructure Engineer - RPA Operations with a Secret security clearance to support TGS and our government customer. The position is remote.
We offer competitive compensation and an extraordinary benefits package including health, dental, and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
The AWS Cloud Infrastructure Engineer - RPA Operations will be responsible for designing, implementing, and maintaining the organization's Amazon Web Services (AWS) cloud infrastructure that supports Robotic Process Automation (RPA) operations, specifically in UiPath RPA software. This role serves as the technical expert for all AWS-related services utilized by RPA customers, ensuring secure, scalable, and highly available virtual infrastructure for automation workloads.
The position requires deep expertise in AWS services, virtualization technologies, security management, and container orchestration. The ideal candidate will manage complex cloud environments including virtual machines, AWS Workspaces, Hardware Security Modules (HSM), and certificate management systems while maintaining strict security protocols for Non-Person Entity (NPE) credentials and unattended automation infrastructure. This role combines cloud architecture, systems administration, security management, and DevOps practices with specialization in System Center Configuration Manager (SCCM) and Kubernetes orchestration.
The engineer will work closely with RPA development teams, security personnel, and end-users to ensure optimal performance, security, and accessibility of cloud resources that enable enterprise-wide automation capabilities.
Essential Functions, Responsibilities & Duties may include, but are not limited to:
AWS Infrastructure Management & Administration:
  • Design, deploy, and maintain AWS cloud infrastructure supporting RPA/UiPath customer operations
  • Create and manage virtual machines (EC2 instances) optimized for unattended automation workloads
  • Configure and maintain AWS Workspaces for RPA developers and automation operators
  • Implement and manage AWS services including but not limited to: EC2, VPC, S3, IAM, CloudWatch, CloudFormation, Systems Manager, and CloudTrail
  • Monitor cloud resource utilization, performance metrics, and costs; optimize infrastructure for efficiency
  • Implement and maintain backup, disaster recovery, and business continuity solutions for RPA infrastructure
  • Manage cloud networking configurations including VPCs, subnets, security groups, routing tables, and network ACLs
  • Ensure high availability and fault tolerance of critical RPA infrastructure components
  • Plan and execute infrastructure scaling activities to meet growing automation demands
  • Perform system maintenance, patching, and updates across cloud environments

Security & Certificate Management:
  • Manage AWS Hardware Security Module (HSM) or similar infrastructure for secure operations
  • Implement and maintain digital certificate lifecycle management for RPA operations
  • Configure and manage Non-Person Entity (NPE) credentials for unattended automation processes
  • Establish secure credential storage, rotation, and access procedures using AWS HSM or similar and Secrets Manager
  • Implement and enforce security best practices for cloud infrastructure and automation workloads
  • Manage Identity and Access Management (IAM) policies, roles, and permissions for RPA services
  • Configure and monitor security controls including encryption at rest and in transit
  • Conduct security assessments and implement remediation measures for identified vulnerabilities
  • Maintain compliance with organizational cybersecurity policies and federal security standards
  • Manage PKI (Public Key Infrastructure) components and certificate authorities for automation environments
  • Coordinate with security teams on audits, compliance requirements, and security incidents

Systems Management & Configuration:
  • Administer System Center Configuration Manager (SCCM) for endpoint management and software distribution
  • Deploy and manage applications, updates, and configurations across virtual infrastructure using SCCM
  • Maintain SCCM infrastructure including site servers, distribution points, and management points
  • Create and maintain SCCM task sequences, packages, and deployment collections
  • Monitor system compliance and remediate configuration drift
  • Integrate SCCM with cloud services for hybrid environment management
  • Troubleshoot SCCM-related issues and optimize performance

Container Orchestration & Kubernetes Management:
  • Design, deploy, and manage Kubernetes clusters
  • Configure and maintain Amazon Elastic Kubernetes Service (EKS) or equivalent container platforms
  • Develop and manage container images, pods, services, and deployments
  • Implement container security best practices and vulnerability scanning
  • Monitor cluster health, resource utilization, and application performance
  • Troubleshoot container and orchestration issues
  • Implement CI/CD pipelines for container deployments

User Support & Documentation:
  • Provide technical support to RPA customers for AWS infrastructure access and usage issues
  • Troubleshoot and resolve virtual infrastructure problems including connectivity, performance, and configuration issues
  • Create and maintain comprehensive documentation for AWS infrastructure procedures and configurations
  • Document step-by-step procedures for NPE credential acquisition and setup in AWS environments
  • Develop user guides for accessing and utilizing AWS Workspaces and virtual machines
  • Maintain runbooks for common administrative tasks and troubleshooting scenarios
  • Conduct knowledge transfer sessions with team members and end-users
  • Respond to user inquiries regarding cloud infrastructure capabilities and limitations

Required Qualifications:
Education:
  • Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related technical field; OR
  • Equivalent combination of education and professional experience in cloud infrastructure, systems engineering, or DevOps

Experience:
  • Minimum 4-5 years of hands-on experience with AWS cloud services and infrastructure management
  • Minimum 3 years of experience with virtual machine administration and cloud computing environments
  • Demonstrated experience with System Center Configuration Manager (SCCM) administration
  • Minimum 2 years of experience with Kubernetes or container orchestration platforms
  • Experience with security management, certificate authorities, and cryptographic systems
  • Previous experience supporting enterprise automation or RPA infrastructure (preferred)
  • Experience with Infrastructure as Code (IaC) and DevOps practices

Technical Skills:
Required:
AWS Services:
  • Expert-level knowledge of AWS core services (EC2, VPC, S3, IAM, CloudWatch)
  • Advanced experience with AWS Workspaces and virtual desktop infrastructure (VDI)
  • Proficiency with AWS Hardware Security Module (CloudHSM or AWS Managed HSM)
  • Strong understanding of AWS security services (Secrets Manager, KMS, Certificate Manager, IAM)
  • Experience with AWS networking, security groups, and VPC configurations
  • Familiarity with AWS automation tools (CloudFormation, Systems Manager, CLI, SDKs)

Security & Certificate Management:
  • Deep knowledge of Public Key Infrastructure (PKI) and certificate lifecycle management
  • Experience with digital certificate creation, distribution, and revocation
  • Understanding of cryptographic concepts and secure key management
  • Experience managing Non-Person Entity (NPE) credentials and service accounts
  • Knowledge of security compliance frameworks and best practices

Systems Management:
  • Advanced proficiency with Microsoft System Center Configuration Manager (SCCM)
  • Experience with endpoint management, patch management, and software distribution
  • Knowledge of Windows Server administration and Active Directory integration
  • Familiarity with PowerShell scripting for automation and system management

Container & Orchestration:
  • Strong experience with Kubernetes architecture, deployment, and management
  • Proficiency with Amazon EKS or other managed Kubernetes services
  • Knowledge of Docker and container technologies
  • Experience with container security scanning and vulnerability management
  • Understanding of microservices architecture and cloud-native applications

Infrastructure as Code & Automation:
  • Proficiency with Infrastructure as Code tools (Terraform, CloudFormation, ARM templates)
  • Experience with configuration management tools (Ansible, Puppet, Chef)
  • Strong scripting skills (PowerShell, Python, Bash)
  • Familiarity with CI/CD pipelines and DevOps tools (Jenkins, GitLab, Azure DevOps)

Monitoring & Troubleshooting:
  • Experience with cloud monitoring and logging solutions (CloudWatch, CloudTrail, ELK stack)
  • Strong analytical and troubleshooting skills for complex cloud environments
  • Performance tuning and optimization expertise

Preferred:
  • AWS certifications (Solutions Architect, SysOps Administrator, Security Specialty, DevOps Engineer)
  • Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
  • Microsoft certifications (Azure Administrator, SCCM/MECM certification)
  • UiPath infrastructure knowledge or RPA platform administration experience
  • Experience with HashiCorp tools (Vault, Consul, Terraform)
  • Knowledge of networking protocols, load balancers, and CDN services
  • Experience with disaster recovery and business continuity planning
  • Familiarity with compliance frameworks (FedRAMP, NIST, FISMA)

Professional Competencies:
  • Strong analytical and problem-solving abilities for complex technical challenges
  • Excellent documentation skills with attention to detail and accuracy
  • Effective communication skills to explain technical concepts to diverse audiences
  • Customer-service oriented with a focus on user satisfaction
  • Ability to work independently and manage multiple concurrent projects
  • Strong organizational and time management skills
  • Commitment to continuous learning and staying current with cloud technologies
  • Collaborative team player with ability to work across functional groups
  • Security-conscious mindset with understanding of risk management
  • Proactive approach to identifying and resolving potential issues

Security & Clearance Requirements:
  • Must be able to obtain and maintain Secret clearance
  • Ability to handle sensitive information and credentials with appropriate discretion
  • Understanding of and adherence to federal cybersecurity requirements

Other Requirements:
  • Availability for on-call support rotation for critical infrastructure issues
  • Willingness to work outside normal business hours for maintenance windows when necessary
  • Ability to support geographically dispersed user base
  • Commitment to maintaining professional certifications and technical skills
  • Strong ethical standards regarding system access and data security
  • U.S. Citizen.

Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services, and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward-leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
Koniag logo

About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

Social media

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