Software Engineer - Python
3h ago⚠️ Before applying, please carefully review all the job requirements
- Location:
- United States
- Work Arrangement:
- Remote
- Experience:
- required
- Job Type:
- Full Time
- Company:
- Veeva
- Salary:
- $150,000 - $300,000
- Posted:
- 2026-10-10
- Team:
- Engineering
- State:
- NC
- Drive Solutions:
- Collaborate with Product Management and Development on technical design and problem-solving to deliver great code
- Rapid Problem Solving:
- Quickly analyze complex problems, identifying knowns and unknowns, to accelerate the path to robust solutions
- Expert Code Review:
- Provide comprehensive code reviews for engineers of all experience levels
- Strategic Mentorship:
- Develop the skills of engineering talent through structured mentorship
- Enterprise SaaS Leader:
- Extensive experience developing high-scale enterprise SaaS cloud applications
- Scalability Expert:
- Proven track record of architecting and building high-volume products at scale
- Fast-Paced Adaptability:
- Highly driven and flexible, enjoys a fast-paced start-up environment, and believes in having fun along the way
- Mentorship:
- Proven ability to mentor and elevate team performance, fostering growth and excellence
- High Work Ethic:
- Veeva is a hard-working company
- Base Pay:
- $150,000 - $300,000
Job Overview
- This listing is for a Software Engineer - Python position. The work arrangement is listed as remote. For salary, the listing states $3. Skills mentioned in the listing include Git and GitHub, Python and Artificial Intelligence. The listing is aimed at the following profile: 12+ years. For general context: Git tracks code changes so teams can work on the same project without overwriting each other. Artificial intelligence is increasingly part of everyday software products. Interested candidates can review the full details below and apply using the link provided on this page.
What These Requirements Mean in Practice
- ★ Git and GitHub: Tracking changes, working on branches, opening pull requests and resolving conflicts so a team can share code safely.
- ★ Python: Writing readable scripts and backend or data code using Python's standard library and common packages.
- ★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.
Skills to Brush Up Before Applying
- ★ Git and GitHub: branching and merging, pull requests and code review, resolving merge conflicts
- ★ Python: core data structures, functions and modules, virtual environments and pip
- ★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias
Who May Be a Good Fit for This Role?
- This role may be suitable for candidates who match the skills and experience described in the requirements. Applicants with working knowledge of Git and GitHub, Python and Artificial Intelligence may feel well prepared for what the listing describes. A remote arrangement may suit people who work well independently and communicate clearly in writing. This is editorial guidance only, and the employer makes the final decision on suitability.
Application Tips
- Applicants may want to highlight relevant experience with Git and GitHub, Python and Artificial Intelligence in their CV. Because version control is mentioned, a GitHub profile with a few well-described repositories can make your skills easier to verify. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. Since applications are sent by email, use a clear subject line that includes the role title and keep your message short, with your CV attached. Keep your CV to the point and tailor the summary to this role rather than sending a generic version. These are general tips, not requirements stated by the employer.
Prepare for Your Interview
- These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
- Q: What is the difference between git merge and git rebase, and when would you use each?
- Q: How do decorators and generators work in Python?
- Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
- Q: How do you resolve a merge conflict in a shared repository?
- Q: How do lists, tuples, sets, and dictionaries differ in Python, and when would you use each?
- Q: Where could AI add value to a typical web application, and what risks should you plan for?
- Q: How do you stay organised and communicate clearly when working remotely?
- Q: Which project are you most proud of, and what part of it did you personally build?
Ideal Candidates Fill the Job Form: Apply Here
