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# Software Engineer

- **Company:** Cisco Systems, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $128,600.0 - $184,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Code Review, Relational Databases, Cursor (Graphical User Interface Elements), Github, Python (Programming Language), Key Management, Open Source Technology, Scrum Methodology, Systems Development Life Cycle, Tensorflow, Search Technologies, Computer Networking Systems, Computer Network Technologies, Pytorch, Large Language Models, Git, Pytest, Containerization, Kubernetes, HuggingFace, Maintaining Code, Hashicorp, Restful APIs, Docker, Jenkins, Microservices
- **Published:** August 27, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18090317?backUrl=%2Fcareer%2F18090317%2FSoftware-Engineer-Texas-Richardson

## About the Role

* Bachelor's with 5+ years of related experience, or Master's with 3+ years of related experience.
 * Experience in Python development.
 * Experience with Docker for containerization and Kubernetes for orchestration and CI/CD pipelines.
 * Experience leveraging AI-assisted development environments, such as GitHub, or CoPilot or Cursor to accelerate the SDLC while maintaining code quality standards.
 * Experience in RESTful API design and relational data modeling., * AI/ML Expertise: Experience with frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Experience with LLM APIs (OpenAI, Anthropic, etc.) or open-source models.
 * Data & Search: Knowledge of vector databases (eg: Pinecone, Weaviate, ChromaDB) and semantic search.
 * Tools & Practices: Experience with Git, secrets management (HashiCorp Vault), and object storage (S3/MinIO).
 * Soft Skills: Excellent communication and collaboration skills; experience working in Agile/Scrum environments and a commitment to creating comprehensive technical documentation.
 * Networking knowledge: Cisco networking knowledge is a strong plus.

## Description

* Development:Design, develop, and maintain Python-based applications, scalable RESTful APIs, and microservices that seamlessly integrate AI/LLM capabilities.
 * Infrastructure & DevOps:Implement CI/CD pipelines (Jenkins, GitHub Actions) and deploy containerized applications using Docker and Kubernetes across major cloud platforms (AWS, Azure, or GCP).
 * Quality & Reliability:Ensure operational stability through comprehensive Pytest suites, rigorous code reviews, post-mortems, and on-call rotations.
 * Collaboration:Partner with cross-functional teams, including design and product management, to translate requirements into high-quality, delivered features.


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