Senior Software Engineer

Qualys • In office • Full-Time • Senior • 3 views • 9 days ago
Pune
5+ years exp
Python
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Qualys

Qualys, Inc. is a publicly traded enterprise cybersecurity, compliance, and IT solutions provider headquartered in Foster City, California. Founded in 1999 as a pioneer in SaaS-delivered vulnerability management, the company provides the Qualys Enterprise TruRisk Platform. Its single-agent cloud architecture unifies cybersecurity asset management, vulnerability management detection and response (VMDR), patch management, web application security, policy compliance, and cloud security across hybrid IT environments, public clouds, and containers.
qualys.com • HQ: Foster City, United States • Information Security • Endpoint Security • Cybersecurity • Est. 1999

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)

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