Overview
Skills
Job Details
Python Sr Developer - Onsite
Location: Dallas, US
For each candidate kindly include updated evaluation sheet for our review.
Required skills and qualifications
- 8+ years' experience designing and delivering production-grade full-stack python applications.
St years' experience programming in Python. - 3+ years' experience with Kafka or similar event-streaming platforms.
3+ years' experience with containerized development using Docker and deploying through CI/CD pipelines (Google Cloud Platform
DevOps/GitHub).
Own the full lifecycle of the application - from architecture and implementation to CI/CD and monitoring.
In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy. Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. - Familiarity with database technologies such as SQL and NoSQL
I
- Excellent problem-solving ability with solid communication and collaboration skills.
- Strong unit test and debugging skills
- Understanding of the threading limitations of Python, and multi-process architecture
- Experience with CI/CD tools like Github, Gitactions, Jenkins, octopus or similar
3+ years of experience working on Azure or Google Cloud Platform Cloud Applications services (Google Cloud Platform preferred)
Bachelor's degree in computer science, Software Engineering or a related field.
Preferred skills and qualifications
Experience with popular Python frameworks such as Django, Flask or Pyramid.
- Knowledge of data science and machine learning concepts and tools.
- A working understanding of cloud platforms Google Cloud
Contributions to open-source Python projects or active involvement in the Python community.
| kill Set | Years of Experience Rating (1-5) | |
| Python Programming | ||
| Django/Flask Frameworks | ||
| Data Science Libraries (NumPy, Pandas, etc.) | ||
| Machine Leaming (scikit-lear, PyTorch) | ||
| NLP Tools (spaCy. NLTK) | ||
| Kafka/Event Streaming | ||
| SQL Databases | ||
| NoSQL Databases | ||
| Docker/Containerization | ||
| Google Cloud Platform Cloud Services | ||
| CLCD Pipelines | ||
| GitHub/GitActions | ||
| Unit Testing Debugging | ||
| Multi-process Architecture | ||
| Threading in Python | ||
| API Development | ||
| System Design/ Architecture | ||
| Performance Optimization | ||
| Documentation | ||
| Problem-Solving & Collaboration |
Thanks &Regards
Rahul Sharma | Team Lead
Amaze Systems Inc
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