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Remote Google Software Engineer Jobs in New Jersey

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 ...

Data Engineer - Remote

Jersey City, NJ · On-site +1

$125K - $150K/yr

NAVA Software solutions is looking for a Data Engineer with one of our clients. Details: Data ... Experience in data integration automation via Google DataFlow, Apache Beam, Spark, AWS EMR, etc. a ...

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 ...

Software Engineer, Full Stack Location: Remote Division: Technology Department: Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that ...

Senior Software Engineer, Robotics

Phillipsburg, NJ · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As part of our Engineering Team, our Senior Software Engineer, Robotics drives some of the most ... While remote candidates will be considered, we strongly prefer individuals who are willing to ...

Senior Software Engineer

Hoboken, NJ · Remote

$150K - $180K/yr

Remote - US | Team: Engineering - Enterprise Learning & Skills About the role We're looking for a Senior Full-Stack Software Engineer to join the Enterprise Learning & Skills (ELS) engineering team ...

Software Engineer C#

Newark, NJ · On-site +1

$50 - $65/hr

Their engineering teams utilize industry-leading technologies to solve interesting and complicated ... It is based out of Lindon, Utah ideally, but we are open to 100% remote candidates. The work hours ...

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Remote Google Software Engineer information

What is a remote Google software engineer?

Remote Google Software Engineers are software development professionals employed by Google who work from locations outside of traditional Google office spaces. They use technology to collaborate with colleagues, design and implement software solutions, and contribute to Google's products and services. Remote engineers typically participate in virtual meetings, code reviews, and agile development processes using cloud-based tools. This role allows for flexibility in work location while maintaining high standards of productivity and collaboration.

What skills and qualifications are needed to thrive as a remote Google software engineer?

To thrive as a Remote Google Software Engineer, you need strong programming skills (typically in languages like Python, Java, or C++), a solid grasp of computer science fundamentals, and a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as Google Cloud, and internal tools or APIs is highly beneficial, as is experience with distributed systems. Excellent communication, self-motivation, and collaboration skills are crucial for remote teamwork and problem-solving. These abilities enable engineers to deliver high-quality, scalable solutions efficiently while remaining aligned and productive in a distributed work environment.

How does a remote Google software engineer stay connected and collaborate effectively with their team?

As a Remote Google Software Engineer, maintaining strong communication is key to successful collaboration. Engineers use a variety of tools such as Google Meet, Chat, and shared documents to coordinate with teammates across different time zones. Regular stand-up meetings, code reviews, and pair programming sessions help ensure alignment and foster teamwork. Google also encourages participation in virtual team-building activities and provides resources to help remote employees feel integrated and supported.

What is the difference between Remote Google Software Engineer vs Remote Amazon Software Engineer?

AspectRemote Google Software EngineerRemote Amazon Software Engineer
Required CredentialsBachelor's/Master's in CS or related field, strong coding skillsBachelor's/Master's in CS or related field, strong coding skills
Work EnvironmentCollaborative, innovative, often flexible hours, remote-friendlyFast-paced, customer-centric, remote or hybrid options
Employer & Industry UsageGoogle, tech, internet servicesAmazon, e-commerce, cloud computing
Common Search & ComparisonYesYes

Both Remote Google Software Engineers and Remote Amazon Software Engineers require similar technical credentials and work in remote, tech-driven environments. While Google emphasizes innovation and research, Amazon focuses on customer satisfaction and operational efficiency. Candidates often compare these roles to find the best fit based on industry, company culture, and career goals.

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

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

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

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

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

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

Infographic showing various Remote Google Software Engineer job openings in New Jersey as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Re-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.