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Twitter Software Engineer Remote Jobs in Atco, NJ

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 ...

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for ...

Advanced Software Engineer

Philadelphia, PA · On-site +1

$85K - $115K/yr

Advanced Software Engineer Chicago, IL Reports To: Director, Product Development & Operations BAI ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Senior Software Engineer

PA · On-site +1

$98K/mo

... the remote option.) Job Summary You will be an innovator within DataBee. ( This division ... In the role of Software Engineer, you will be an important contributor within Comcast Technology ...

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Showing results 1-20

Twitter Software Engineer Remote information

See Atco, NJ salary details

$63.1K

$146.6K

$204.2K

How much do twitter software engineer remote jobs pay per year?

As of Jun 29, 2026, the average yearly pay for twitter software engineer remote in Atco, NJ is $146,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $171,900.00 per year, depending on experience, location, and employer.

What is the difference between Twitter Software Engineer Remote vs Twitter Data Engineer Remote?

AspectTwitter Software Engineer RemoteTwitter Data Engineer Remote
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, Data Science, or related, strong SQL and data skills
Work EnvironmentCollaborative software development teams, remote codingData pipelines, analytics, remote data management
Employer & Industry UsageCommon in tech companies, software developmentCommon in data-driven roles, analytics teams
Search & Comparison IntentUnderstanding software engineering roles at TwitterUnderstanding data engineering roles at Twitter

The main difference between Twitter Software Engineer Remote and Twitter Data Engineer Remote lies in their focus areas. Software Engineers primarily develop and maintain software applications, while Data Engineers focus on building data pipelines and managing large datasets. Both roles require technical skills and are integral to Twitter's tech infrastructure, but they serve different functions within the company's ecosystem.

What cities near Atco, NJ are hiring for Twitter Software Engineer Remote jobs? Cities near Atco, NJ with the most Twitter Software Engineer Remote job openings:
Software Engineer (US-Remote)

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Posted 17 days ago


Key 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.

  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders to deliver high-quality software solutions.


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.