Python Engineer (Remote)

As a Python Engineer at Veeva Systems, you will be engaged in all aspects of developing scalable web applications. This includes building REST and GraphQL APIs, participating in technical planning and implementation, and solving complex problems while working independently and collaboratively with your team.

To qualify for the Python Engineer position at Veeva Systems, you need 3+ years of professional experience working with Python and a familiarity with Django or a similar web framework. A solid understanding of RDBS like MySQL or PostgreSQL, excellent debugging skills, and a basic knowledge of front-end technologies are also vital.

Yes! Veeva Systems offers a Work Anywhere policy, allowing you to work remotely from the UK. This flexibility enables you to thrive in an environment that best suits your needs, whether at home or in a shared office space.

In the Python Engineer role at Veeva Systems, you'll be working with technologies such as Python, Django, GraphQL, Elasticsearch, AWS, and various frameworks. This blend provides an exciting opportunity to expand your technical skills and work on cutting-edge projects.

At Veeva Systems, you'll find a strong emphasis on mission-driven values, inclusivity, and diversity. The company believes in empowering employees, fostering success, and doing the right thing for all stakeholders, cultivating a supportive environment where everyone can thrive.

When debugging a complex Python application, I start by replicating the issue and understanding the context in which it occurs. I then utilize tools like print statements, logging, or debuggers to trace the code execution, isolate the problem, and address it step-by-step.

I've built several REST APIs using Django REST Framework, focusing on creating clear endpoints and ensuring efficient data handling. With GraphQL, I appreciate its flexibility and have integrated it in projects requiring dynamic queries, enhancing user experience and performance.

I have extensive experience with MySQL and PostgreSQL, where I design database schemas that effectively represent business processes. I utilize SQL for performance optimization and regularly implement indexing to enhance query efficiency.

To ensure quality and reliability, I implement unit testing and continuous integration practices, alongside code reviews with peers. This process helps catch issues early and fosters an environment of collaboration and continuous improvement.

I have a solid understanding of front-end technologies, including basics of JavaScript, HTML, and CSS. This knowledge helps me better collaborate with front-end developers and understand how back-end services interact with user interfaces.

In a past project, I faced performance bottlenecks with a high volume of data. By profiling the application, I identified inefficient database queries, and by rewriting them and adding appropriate indexing, I significantly improved the performance.

I regularly participate in coding meetups, follow tech blogs, and enroll in online courses. Engaging with the developer community allows me to stay updated on best practices and emerging technologies related to Python development.

My experience with AWS includes deploying applications using services such as EC2, S3, and RDS. I have utilized cloud functions to enhance application scalability and actively manage resources to optimize performance.

I'm drawn to Veeva Systems because of its mission-driven approach and commitment to improving the life sciences industry. The opportunity to work on cutting-edge technology while contributing to meaningful outcomes aligns perfectly with my professional goals.

My development workflow includes planning, writing clean code, collaborating closely with team members, and conducting thorough testing. I value clear documentation throughout the process, which aids in collaboration and understanding for future team members.