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Remote Forward Deployed Software Engineer Jobs in New Jersey

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Design, develop, test, and deploy scalable applications, APIs, and microservices using modern ...

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... Contribute to CI/CD pipelines for deploying the console alongside hardware releases, including ...

$105K - $145K/yr

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team ... This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ...

Senior Software Engineer

Basking Ridge, NJ · Remote

$126K - $166K/yr

As a Senior Software Engineer within Optum Technology, you will play a critical onshore lead role ... Design, develop, and deploy enterprise AI-powered solutions and automated workflows to address ...

Senior Software Engineer

Jersey City, NJ · On-site +1

$127K - $168K/yr

... and deploying software applications. * Strong experience with Java and modern Java tooling for ... Experience mentoring and guiding engineering teams. * Excellent problem-solving skills and the ...

Kafka Engineer - Remote

Jersey City, NJ · On-site +1

$61 - $80.75/hr

NAVA Software solutions is looking for a Kafka Engineer Details: Kafka Admin/Engineer Location ... Develop and deploy real-time messaging applications using Kafka * Troubleshoot Kafka-related issues ...

Senior Software Engineer

Hoboken, NJ · Remote

$150K - $180K/yr

Remote - US | Team: Engineering - Enterprise Learning & Skills About the role We're looking for a ... Hands-on experience designing, deploying, and operating production workloads on AWS and Azure

Senior Software Engineer

Jersey City, NJ · On-site +1

$127K - $168K/yr

... deploying software applications.  * Strong experience with Java and modern Java tooling for ... Experience mentoring and guiding engineering teams. * Excellent problem-solving skills and the ...

Senior Software Engineer

Hoboken, NJ · On-site +1

$150K - $180K/yr

Remote - US | Team: Engineering - Enterprise Learning & Skills About the role We're looking for a ... Hands-on experience designing, deploying, and operating production workloads on AWS and Azure

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

Embedded Software Engineer

Clifton, NJ · On-site +1

$100 - $120K/hr

MORE INFORMATION SALARY: $100-$120K RELOCATION Not offered DIRECT REPORTS Zero REPORTS TO Software Engineering Manager REMOTE WORK Remote work not available TRAVEL Travel not required VISA Candidate ...

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Remote Forward Deployed Software Engineer information

What is a remote forward deployed software engineer?

A Remote Forward Deployed Software Engineer is a software engineer who works offsite (remotely) and is embedded directly with a client or customer team to help implement, customize, and integrate technical solutions. They often serve as both technical experts and liaisons, working closely with clients to understand their needs and deliver tailored software products. Their role typically involves travel or virtual collaboration with client teams, rapid problem-solving, and adapting existing software to unique business requirements. This position requires strong communication skills, technical proficiency, and the ability to work independently from a remote location.

How does a remote forward deployed software engineer typically collaborate with client teams and internal stakeholders?

As a Remote Forward Deployed Software Engineer, you'll work closely with client teams to understand their unique technical needs and integrate solutions directly into their environments. Collaboration often happens through regular video calls, shared documentation, and agile project management tools. You'll also coordinate with internal engineering, product, and support teams to ensure that client requirements are met while maintaining high code quality. Building strong communication channels is key to success in this role, as you'll often act as the primary technical liaison between your company and the client.

What are the key skills and qualifications needed to thrive as a remote forward deployed software engineer?

To excel as a Remote Forward Deployed Software Engineer, you need strong programming skills, experience in software deployment, and a bachelor's degree in computer science or a related field. Familiarity with cloud platforms, version control systems like Git, and continuous integration/continuous deployment (CI/CD) tools is typically required. Exceptional problem-solving, communication, and self-management skills help you collaborate with clients and distributed teams effectively. These abilities ensure you can deliver tailored technical solutions efficiently and adapt to the unique challenges of remote and client-facing environments.

What is the difference between Remote Forward Deployed Software Engineer vs Remote Software Engineer?

AspectRemote Forward Deployed Software EngineerRemote Software Engineer
FocusDirectly interacts with clients and deploys solutions on-site or close to the customerDevelops software primarily in a remote environment without direct client deployment responsibilities
Work EnvironmentHybrid or on-site with client engagementFully remote, often within a development team
ResponsibilitiesCustomizing, deploying, and maintaining solutions at client locationsDesigning, coding, and testing software applications
Skills & CertificationsStrong communication, deployment, and client-facing skills; relevant certifications varyProgramming, software development, and possibly cloud certifications

The main difference is that Remote Forward Deployed Software Engineers work closely with clients, deploying solutions on-site or near the customer, while Remote Software Engineers focus on developing software remotely without direct deployment duties. Both roles require technical expertise, but their work environments and responsibilities differ significantly.

What are the most commonly searched types of Forward Deployed Software Engineer jobs in New Jersey?

The most popular types of Forward Deployed Software Engineer jobs in New Jersey are:

What are popular job titles related to Remote Forward Deployed Software Engineer jobs in New Jersey?

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

What job categories do people searching Remote Forward Deployed Software Engineer jobs in New Jersey look for?

The top searched job categories for Remote Forward Deployed Software Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Forward Deployed Software Engineer jobs?

Cities in New Jersey with the most Remote Forward Deployed Software Engineer job openings:

Infographic showing various Remote Forward Deployed Software Engineer job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Re-posted 13 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.