Python Developer
Job Details
About the Company
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
About the Project
We are looking for a skilled Python Developer to build backend components, automation tools, and data processing pipelines that power our phishing detection and email security platform.You will work closely with security researchers, data scientists, and ML engineers to develop scalable systems that ingest, transform, and analyze massive volumes of email and web data.This is a hands-on development role focused on building robust infrastructure to support real-time threat detection and model deployment.
Specialization
Headquarters
Years on the market
Team size and structure
Current technology stack
Required skills:
- 5+ years of experience in Python development.
- Strong understanding of data structures, multithreading, and performance optimization.
- Experience building APIs using Flask or FastAPI.
- Familiarity with job scheduling and message queues (e.g., Celery, Kafka, Redis).
- Comfortable working on Linux systems and writing shell scripts.
Nice to Have
- Experience integrating with machine learning models or working in cybersecurity environments.
- Familiarity with email formats (MIME, SMTP headers) and HTML/JS processing.
Scope of work:
- Design and implement core backend services and data pipelines using Python.
- Build and maintain RESTful APIs and microservices that support phishing detection models.
- Work with structured and unstructured data from emails, URLs, and HTML content.
- Develop internal tools for researchers and analysts to test and visualize phishing indicators.
- Optimize performance and ensure high reliability of detection systems at scale.
- Collaborate with DevOps to automate deployments and monitor service health.