Senior SWE
qlys_in qualys security techservices private
📍 pune india🕐 24d ago🔗 workday
Job Description
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)