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Remote Azure Integration Developer Jobs in New Jersey

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Build and integrate AI-enabled capabilities into applications, including machine learning models ... Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ...

Princeton University

Cloud Engineer

Princeton, NJ · Remote

$59 - $78.75/hr

Contribute to frontend integrations where needed; comfortable working across the stack on a small ... Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), Azure DevOps Engineer (AZ-400 ...

Princeton University

Cloud Engineer

Princeton, NJ · Remote

$59 - $78.75/hr

Contribute to frontend integrations where needed; comfortable working across the stack on a small ... Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), Azure DevOps Engineer (AZ-400 ...

NAVA Software Solutions

IOS Developer (Remote)

Edison, NJ · On-site +1

$53.50 - $73.75/hr

IOS Developer Location: Remote project Duration: 12 months Description: Front End - Presentation ... Minimum 3 years of experience in Apple Xcode Integrated Development Environment, including ...

SysMind Tech

ASP .Net/C# Developer

Jersey City, NJ · On-site +1

NET/C# DEVELOPER Remote 6-12 months Rate: we can discuss Coding test in the 1st round -MS TEAMS ... NET Core, Azure, SQL, and C#. Someone who is good on coding We need individuals who can hit the ...

NAVA Software Solutions

Scrum Master - Remote

Jersey City, NJ · On-site +1

$56.50 - $75.25/hr

Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester Expert in ADO(Azure ... Experience of Continuous Integration/Continuous Deployment (CI/CD) * Very good team player and ...

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Remote Azure Integration Developer information

What is the difference between Remote Azure Integration Developer vs Remote Cloud Solutions Engineer?

AspectRemote Azure Integration DeveloperRemote Cloud Solutions Engineer
Required CertificationsAzure Developer Associate, Azure Solutions ArchitectAzure Solutions Architect, AWS Certified Solutions Architect
Work EnvironmentDeveloping and integrating Azure services, working with APIs, data flowsDesigning cloud architectures, deploying solutions across multiple platforms
Employer & Industry UsageTech companies, consulting firms, enterprises using AzureCloud service providers, large enterprises, multi-cloud environments

The Remote Azure Integration Developer primarily focuses on developing and integrating Azure services, APIs, and data workflows within organizations using Azure cloud platform. In contrast, the Remote Cloud Solutions Engineer designs and deploys comprehensive cloud architectures, often across multiple cloud providers. While both roles require cloud certifications and involve cloud-based work, the Integration Developer specializes in Azure-specific integrations, whereas the Solutions Engineer has a broader scope across cloud solutions.

How does a Remote Azure Integration Developer typically collaborate with cross-functional teams when working on cloud integration projects?

As a Remote Azure Integration Developer, collaboration with cross-functional teams—such as architects, business analysts, QA testers, and project managers—is essential. Communication is often managed through virtual meetings, project management tools, and shared documentation platforms to ensure all stakeholders are aligned on integration requirements and project milestones. Developers are expected to provide regular updates, participate in code reviews, and coordinate deployments with other team members. This collaborative approach helps address technical challenges early and ensures seamless integration of cloud solutions within the broader business environment.

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

To thrive as a Remote Azure Integration Developer, you need a strong background in software development, cloud computing, and integration patterns, typically supported by experience with Azure services and relevant computer science education. Familiarity with Azure Logic Apps, Azure Functions, API Management, and certifications like Microsoft Certified: Azure Developer Associate are highly valuable. Excellent problem-solving, communication, and self-management skills help you collaborate effectively with remote teams and clients. These skills and qualifications are crucial for building scalable, secure integrations that meet business needs in distributed environments.

What is a Remote Azure Integration Developer?

A Remote Azure Integration Developer is a software professional who specializes in designing, building, and maintaining cloud-based integration solutions using Microsoft Azure services, while working from a remote location. They typically connect different applications, data sources, and business processes using Azure tools such as Logic Apps, Azure Functions, and Service Bus. Their role often involves collaborating with cross-functional teams to ensure seamless data flow and system interoperability. Working remotely, they leverage cloud technologies to support businesses in automating workflows, improving connectivity, and enhancing scalability.
What are popular job titles related to Remote Azure Integration Developer jobs in New Jersey? For Remote Azure Integration Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Azure Integration Developer jobs in New Jersey look for? The top searched job categories for Remote Azure Integration Developer jobs in New Jersey are:
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Remote Azure Integration Developer jobs near you
Software Engineer (US-Remote)

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Posted 7 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.

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