Senior Software Engineer

Posted 6 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Senior level
Information Technology • Security • Cybersecurity
The Role
Design, develop, and deploy scalable Python backend services and RESTful APIs; integrate AI/ML models and LLMs into production; optimize performance, security, and reliability; participate in architecture, code reviews, and CI/CD workflows; maintain frameworks and pipelines.
Summary Generated by Built In

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Job Title: Senior Python Software Developer 

Location: Pune, India
Employment Type: Full-Time 
Experience Level: Senior (5+ years) 

 

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 

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) 

Skills Required

  • 5+ years of professional Python development experience
  • Strong problem solving skills
  • Strong grasp of programming, concurrency, and design patterns
  • Experience with web-scraping, regular expressions, data handling, and File I/O
  • Proficiency with web frameworks: FastAPI, Flask, or Django
  • Experience with Python libraries: regex, SQLAlchemy, NumPy, Pandas, Pydantic, Celery, pytest
  • Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases
  • Exposure to cloud platforms: AWS, GCP, or Azure
  • Bash scripting experience
  • Familiarity with containerization: Docker, Kubernetes
  • CI/CD pipeline experience (GitHub Actions, Jenkins, etc.)
  • Proven experience designing and building RESTful APIs
  • Experience with API authentication mechanisms (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
  • Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), or agentic workflows
  • 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)

Qualys Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.

  • Affordable Benefits Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
  • Healthcare Strength Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
  • Equity Value & Accessibility Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.

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The Company
HQ: Foster City, CA
2,736 Employees
Year Founded: 1999

What We Do

Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com

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