Senior Software Engineer

Posted Yesterday
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Senior level
Information Technology • Security • Cybersecurity
The Role
Design, develop, and maintain scalable Python backend services and RESTful APIs; integrate AI/ML models and LLMs into production; optimize performance, reliability, and security; work with databases, cloud, containers, and CI/CD; participate in architecture, code reviews, and technical planning.
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!

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)

Skills Required

  • 5+ years professional Python development experience
  • Strong problem solving skills and solid 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, BeautifulSoup
  • Experience with relational databases: PostgreSQL, MySQL
  • Experience with NoSQL databases: MongoDB, Redis
  • Exposure to cloud platforms (AWS, GCP, or Azure)
  • Bash scripting
  • Containerization: Docker and Kubernetes familiarity
  • 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)
  • 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.

Qualys Insights

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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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