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Remote Java Aws Jobs in Camden, NJ (NOW HIRING)

Experience with modern programming languages such as Java, Python, or similar backend technologies ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with relational ...

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Remote Java Aws information

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$15

$57

$78

How much do remote java aws jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote java aws in Camden, NJ is $57.20, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Java AWS Developer, and why are they important?

To thrive as a Remote Java AWS Developer, you need strong proficiency in Java programming, cloud architecture, and experience with AWS services, often backed by a relevant degree or certifications such as AWS Certified Developer. Familiarity with tools like AWS Lambda, EC2, S3, and CI/CD pipelines, as well as version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are vital soft skills in this role. These skills and qualities ensure the developer can build scalable cloud applications, collaborate effectively in distributed teams, and adapt to evolving technical requirements.

What is a Remote Java AWS developer?

A Remote Java AWS developer is a software engineer who specializes in building, maintaining, and deploying Java applications on Amazon Web Services (AWS) infrastructure, while working from a location outside of a traditional office setting. These professionals use AWS tools and services such as EC2, Lambda, S3, and others to create scalable and secure cloud-based applications in Java. Their work often involves collaborating with distributed teams, automating deployments, and ensuring that applications perform efficiently in the cloud. They must be proficient in both Java programming and AWS cloud technologies.

What is the difference between Remote Java Aws vs Remote Java Developer?

AspectRemote Java AwsRemote Java Developer
Required CredentialsJava certification, AWS certifications (e.g., AWS Certified Developer)Java certification, general programming skills
Work EnvironmentCloud-based, AWS cloud infrastructureVarious environments, including cloud and on-premises
Industry UsageCloud-focused companies, AWS usersBroad software development across industries
Common Search/ComparisonYesNo

Remote Java Aws roles typically require AWS certifications and focus on cloud infrastructure, while Remote Java Developer roles are broader, covering various environments and industries. The main difference lies in the specialization in AWS cloud services for Remote Java Aws positions.

How does a Remote Java AWS developer typically collaborate with team members and stakeholders across different locations?

As a Remote Java AWS developer, collaboration is often facilitated through a combination of virtual meetings, code repositories, and project management tools. You’ll regularly participate in stand-ups, sprint planning, and code reviews via video calls and chat platforms to keep aligned with team objectives. Cloud-based tools like GitHub, Jira, and AWS CodeCommit ensure seamless sharing and integration of code. Clear communication and proactive updates are key to overcoming the challenges of working remotely, ensuring everyone stays on the same page despite time zone differences.
What are popular job titles related to Remote Java Aws jobs in Camden, NJ? For Remote Java Aws jobs in Camden, NJ, the most frequently searched job titles are:
What cities near Camden, NJ are hiring for Remote Java Aws jobs? Cities near Camden, NJ with the most Remote Java Aws job openings:
Software Engineer (US-Remote)

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Re-posted 29 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.