Software Engineer (US-Remote)

Gnostech•Marlton, NJ

1d•Remote

About The Position

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.

Requirements

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.
Must be eligible and pass security screening to obtain DoD Top Secret
Bachelor's degree (in Engineering, Computer Science, Math, or related field)
2+

Nice To Haves

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.

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.