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Remote Distribution Jobs in Medford, NJ (NOW HIRING)

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Monitor and troubleshoot applications in distributed environments using logging, observability, and ...

Remote - Eastern United States * Travel: Approximately 30-40% throughout the territory Territory ... Channel/distribution partners * Identify, qualify, and develop new opportunities from early ...

Staff Data Engineer

Horsham, PA ยท Remote

$80 - $90/hr

Job Title: Sr. Staff Data Engineer Location-Type: 100% Remote Start Date Is: ASAP Duration ... Implement cloud-native and distributed data processing solutions * Ensure data quality, reliability ...

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Remote Distribution information

See Medford, NJ salary details

$16

$43

$69

How much do remote distribution jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote distribution in Medford, NJ is $43.03, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $50.72 per hour, depending on experience, location, and employer.

What is a Remote Distribution job?

A Remote Distribution job involves managing the flow of goods, services, or digital products from a remote location. Responsibilities may include coordinating shipments, tracking inventory, processing orders, or overseeing digital content distribution. These roles often require strong organizational and communication skills, as well as familiarity with logistics software or digital platforms. Remote Distribution jobs are common in industries like e-commerce, supply chain management, and digital media.

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

To excel in a Remote Distribution role, you need strong organizational skills, attention to detail, and experience with supply chain or logistics management, often supported by a background in business, logistics, or a related field. Familiarity with inventory management software, enterprise resource planning (ERP) systems, and shipment tracking tools is typically required. Excellent communication, problem-solving skills, and the ability to work independently in a remote setting help individuals thrive. These skills are vital for ensuring accurate, timely distribution of goods, maintaining operational efficiency, and collaborating effectively with dispersed teams.

What are some common challenges faced in a Remote Distribution role and how can they be addressed?

Some common challenges in a Remote Distribution position include coordinating shipments across time zones, maintaining communication with suppliers and clients remotely, and ensuring inventory accuracy without being on-site. These challenges can be addressed by leveraging real-time tracking and inventory management tools, setting clear expectations with partners, and scheduling regular virtual check-ins. Professionals who embrace technology and proactive communication tend to adapt well to the remote nature of the work. Continuous learning and staying organized are also key to overcoming these hurdles and succeeding in the role.
What are the most commonly searched types of Distribution jobs in Medford, NJ? The most popular types of Distribution jobs in Medford, NJ are:
What cities near Medford, NJ are hiring for Remote Distribution jobs? Cities near Medford, NJ with the most Remote Distribution job openings:
Infographic showing various Remote Distribution job openings in Medford, NJ as of May 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $89,495 per year, or $43 per hour.
Software Engineer (US-Remote)

Software Engineer (US-Remote)

Gnostech

Marlton, NJ โ€ข On-site, Remote

Full-time

Posted 15 days ago


Job description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
  • US-Remote or Marlton, NJ area

Job Title
  • Software Engineer

Salary
  • Commensurate with industry position, depending on experience

Shift
  • Typical: Monday through Friday 9am to 5pm

Travel
  • Less than 5%

Position Responsibilities
  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance
  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills
  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications
  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required
  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience
  • 2+

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.