Software Engineer (US-Remote)

Gnostech, LLC; Marlton (NJ); Hybrid; USD 80,000 - 120,000; Full time

Job summary

A technology solutions provider is seeking a Software Engineer to design and deploy scalable applications and microservices. This role requires proficiency in modern programming languages like Java or Python, knowledge of containerization with Docker and Kubernetes, and understanding of AI technologies. The candidate should hold a Bachelor's degree in a relevant field and have more than two years of experience. The position is available for either remote work or at the Marlton, NJ office.

Qualifications

• 2+ years of experience in software engineering.
• Strong proficiency in software design, development, and debugging.
• Experience with containerized applications using Docker and Kubernetes.

Responsibilities

• Design, develop, test, and deploy scalable applications, APIs, and microservices.
• Build AI-enabled capabilities into applications.
• Collaborate with cross-functional teams.

Skills

Software design, development, and debugging

Java

Python

Spring Boot

REST APIs

AI/ML technologies

Docker

Kubernetes

AWS

MySQL

TensorFlow

Education

Bachelor's degree in Engineering, Computer Science, Math or related field

Tools

CI/CD tools

Prometheus

Grafana

OpenAI

HuggingFace

Job description

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.