Senior Software Engineer
On-sitePune, Maharashtra, India
Pune, Maharashtra, IndiaOn-siteFull TimeSenior LevelLarge
Full TimeSenior LevelLarge
Job Summary
Design and develop robust, scalable backend services and APIs using Python, while maintaining and enhancing current frameworks and workflows. Build and integrate AI/ML models and pipelines into production systems, optimizing application performance, reliability, and security. Participate in architecture discussions, code reviews, and technical planning to ensure clean, maintainable, and well-tested code. This role sits within Qualys' engineering team, supporting the company's mission to provide disruptive cloud-based security, compliance, and IT solutions.
Required Qualifications
- 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
- 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.)
- Proven experience designing and building RESTful APIs
- Experience with API authentication (OAuth2, JWT, API keys)
- 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
Desired Qualifications
- Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), or agentic workflows is a strong plus
- 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)
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