Senior Software Engineer
Summary
Senior Python developer designing and building scalable backend services, RESTful APIs, and AI/ML-powered applications at Qualys, a cybersecurity product company. Day-to-day work spans Python web frameworks (FastAPI/Flask/Django), relational and NoSQL databases, containerized cloud deployments, and integrating LLMs and ML models into production systems.
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
About the Role
We are looking for a talented and driven Senior Python Software Developer to join our engineering team. In this role, you will design, develop, and deploy scalable backend systems and AI-powered applications, collaborating closely with cross-functional teams to deliver high-quality software solutions.
Key Responsibilities
Design and develop robust, scalable backend services and APIs using Python
Maintain and enhance current frameworks and workflows.
Develop and maintain RESTful APIs
Write clean, maintainable, and well-tested code following best practices
Participate in architecture discussions, code reviews, and technical planning
Optimize application performance, reliability, and security
Build and integrate AI/ML models and pipelines into production systems
Stay current with emerging AI/ML frameworks and engineering best practices
Required Skills & Qualifications
- Core Python:
5+ years of professional Python development experience with scripting and web development
Strong problem solving skills.
Strong grasp of programming, concurrency, and design patterns
Experience with web-scrapping, regular expressions, data handling, File IO
Proficiency with web frameworks: FastAPI, Flask, or Django
Experience with Python libraries: regex, Django, SQLAlchemy NumPy, Pandas, SQLAlchemy, Pydantic, Celery, pytest, beautiful soup
- Data & Infrastructure:
Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases
Exposure to cloud platforms: AWS, GCP, or Azure
Bash Scripting
Familiarity with containerization: Docker, Kubernetes
CI/CD pipeline experience (GitHub Actions, Jenkins, etc.)
- APIs & Backend:
Proven experience designing and building RESTful APIs
Experience with API authentication (OAuth2, JWT, API keys)
- AI / Machine Learning:
Hands-on experience building or deploying AI/ML applications
Working knowledge of LLM integrations (OpenAI, Anthropic, LangChain, etc.)
Familiarity with ML frameworks: TensorFlow, PyTorch, or scikit-learn
Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), or agentic workflows is a strong plus
- Nice to Have
Security domain knowledge
Contributions to open-source AI/ML projects
Knowledge of prompt engineering and fine-tuning LLMs
Experience with event-driven architectures (Kafka, RabbitMQ)