ZipRecruiter

Log In

2

Remote Azure Engineer Jobs in New Jersey (NOW HIRING)

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with relational ...

Everest Re Group

Senior Network Engineer II

Warren, NJ · On-site +1

$119K - $140K/yr

Hybrid / Remote (Global Support Model) Reports To: Network Engineering & Operations Leadership ... centers, Azure cloud environments, and branch locations. You'll drive network modernization ...

Everest

Senior Network Engineer II

Warren, NJ · On-site +1

$119K - $140K/yr

Hybrid / Remote (Global Support Model) Reports To: Network Engineering & Operations Leadership ... centers, Azure cloud environments, and branch locations. You'll drive network modernization ...

TTEC

$63.50 - $85/hr

Participate in cloud security reviews (AWS, Azure, GCP) and recommend improvements. * Provide ... Remote Job Requisition 047TF Work From Home Yes Apply now Save jobSaved job

Nityo Infotech

Cloud Devops Engineer

Plainsboro, NJ · Remote

$54 - $74/hr

REMOTE Duration: 1+ yr VISA: Permanent Residents/Citizens A handson role in architecture, design ... AWS/Azure platform knowledge is a must. * Handson experience with various enterprise applications ...

Nityo Infotech

Cloud Devops Engineer

Plainsboro, NJ · On-site +1

$54 - $74/hr

REMOTE Duration: 1+ yr VISA: Permanent Residents/Citizens A handson role in architecture, design ... AWS/Azure platform knowledge is a must. * Handson experience with various enterprise applications ...

previous page

Showing results 41-60

All JobsAzure Engineer JobsRemote Azure Engineer JobsRemote Azure Engineer Jobs in New Jersey

Remote Azure Engineer information

See New Jersey salary details

$25

$54

$77

How much do remote azure engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote azure engineer in New Jersey is $54.45, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $63.22 per hour, depending on experience, location, and employer.

What is a remote Azure engineer?

A Remote Azure Engineer is an IT professional who specializes in designing, implementing, and managing cloud solutions using Microsoft Azure while working remotely. They collaborate with teams to build scalable cloud infrastructure, optimize performance, and ensure security. Responsibilities often include deploying virtual machines, configuring networking, automating workflows, and monitoring cloud environments. Strong expertise in Azure services, infrastructure as code, and security best practices is essential for this role.

What does a remote Azure engineer do?

As a Remote Azure Engineer, your daily tasks often include provisioning and managing cloud infrastructure, monitoring system performance, implementing security and compliance measures, and supporting application deployments. You may collaborate with development teams to optimize cloud solutions, troubleshoot incidents, and automate routine tasks using scripts and tools. Communication with cross-functional teams is key, as you'll help translate business needs into technical solutions and provide Azure expertise. Most remote roles also require proactive documentation and participation in virtual meetings to ensure alignment and effective project delivery.

What are the key skills and qualifications needed to thrive as a remote Azure engineer?

To thrive as a Remote Azure Engineer, you need strong expertise in cloud computing, Azure infrastructure, scripting (such as PowerShell or Azure CLI), and a background in IT or computer science. Familiarity with Azure DevOps, ARM templates, and certifications like Microsoft Certified: Azure Solutions Architect Expert are highly valued. Excellent problem-solving, communication, and self-management skills distinguish top performers, especially when working remotely. These qualifications enable effective deployment, management, and troubleshooting of Azure environments while collaborating with distributed teams.

What are popular job titles related to Remote Azure Engineer jobs in New Jersey?

For Remote Azure Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Azure Engineer jobs in New Jersey look for?

The top searched job categories for Remote Azure Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Azure Engineer jobs?

Cities in New Jersey with the most Remote Azure Engineer job openings:

Remote Azure Engineer jobs near you
Infographic showing various Remote Azure Engineer job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $113,252 per year, or $54.4 per hour.

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Re-posted 28 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.

Apply