Software Engineer
1 day ago⚠️ Before applying, please carefully review all the job requirements
- Location:
- United States
- Work Arrangement:
- Hybrid
- Experience:
- Entry Level
- Job Type:
- Full-time
- Company:
- Mintive
- Salary:
- Negotiable
- Posted:
- 2026-10-14
- Design Sensibility:
- engineers who care about design, designers who think about infrastructure.
Job Overview
- This listing is for a Software Engineer position. The role is hybrid and is classified as full-time. For salary, the listing states rs,. The requirements point towards TypeScript, REST APIs, Git and GitHub, Python, Artificial Intelligence and AI tools. For general context: REST APIs let the front end and back end of an application exchange data in a structured way. Git tracks code changes so teams can work on the same project without overwriting each other. Interested candidates can review the full details below and apply using the link provided on this page.
What These Requirements Mean in Practice
- ★ TypeScript: Adds types to JavaScript so mistakes are caught earlier; day to day it means defining interfaces and typing function inputs and outputs.
- ★ REST APIs: Designing and consuming HTTP endpoints so a front end, mobile app or another service can exchange data.
- ★ 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.
- ★ AI tools: Using AI assistants to speed up everyday work while still reviewing the result yourself.
Skills to Brush Up Before Applying
- ★ TypeScript: interfaces versus type aliases, generics basics, typing API responses
- ★ REST APIs: HTTP methods and status codes, authentication basics such as tokens, validation and error responses
- ★ 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
- ★ AI tools: writing clear prompts, reviewing generated code, knowing when not to trust the output
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 TypeScript, REST APIs, Git and GitHub, Python, Artificial Intelligence and AI tools may feel well prepared for what the listing describes. A hybrid arrangement may suit people who can split their time between home and the office. This is editorial guidance only, and the employer makes the final decision on suitability.
Application Tips
- Applicants may want to highlight relevant experience with TypeScript, REST APIs, Git and GitHub and Python 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. 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 benefits does TypeScript give over plain JavaScript on a team project, and what trade-offs have you noticed?
- Q: How would you handle authentication and input validation for a REST API you are building?
- 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: Which AI tools do you use in your development workflow, and how do you verify their output before relying on it?
- Q: How do interfaces and type aliases differ, and when would you choose one over the other?
- Q: What makes an API RESTful, and how do you choose HTTP methods and status codes for different operations?
Ideal Candidates Fill the Job Form: Apply Here
