Lead Software Engineer – Python
Location | Dar es Salaam, Tanzania, United Republic of |
Date Posted | December 6, 2023 |
Category | Engineering IT / Information Technology |
Job Type | Full-time |
Currency | TZS |
Description
Datapeople is working to make the hiring process more fair, equitable, and simple for everyone involved. We provide editing tools and hiring analytics to companies large and small around the world, including Square, Twitch, Discord, and many others. At the heart of our mission is our love for all candidates and empathy for the challenges they face when trying to get a job.
We're a small, diverse remote-first team. We want to have conversations rather than meetings, solutions rather than procedures, and initiative rather than conformity.
We are looking for experienced Python / Back-end Software Engineers to help us develop data products that help recruiting teams understand and improve their hiring pipelines and processes. You'll work on developing a micro-services system to provide research-backed data analytics to customers based on data fetched directly from their applicant tracking systems. You'll work within a small backend team, reporting to our VP of Engineering and collaborating with our Science, Product, and Linguistic teams.
You will:
- Migrate applications from monolith to microservices
- Build scalable data pipelines that integrate multiple data sources (both internal and external APIs).
- Write data extraction and transformation processes with monitoring.
- Develop internal tools that will be used by the data and engineering teams.
- Develop and maintain cloud infrastructure in partnership with senior engineers.
- Create code that is maintainable, testable, and observable.
- Maintain and advocate for development standards.
Required profile for job ad : Lead Software Engineer - PythonYou have:
- 7+ years of experience building large-scale software applications with Python
- Previous experience with MVC architecture
- Experience with SQL and common relational database systems
- Experience with debugging and data flow optimization skills
- Experience working in AWS or other cloud environment
- Familiarity with Docker or other containerized deployment methods