Python Developer

Mastercard Python Contractor

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

The Internal AI team is looking for an experienced Python contractor to help implement our redesign of the mission critical Settlement Predictor application. The ideal candidate is highly experienced in designing large-scale data intensive applications with particular proven track record in microservice development. The candidate needs to be passionate about technical detail, must be highly motivated, intellectually curious, and analytical.

Role:

• Redesign the backlend and microservice architecture currently in production
• Optimize scheduling and implement event-driven architecture
• Revisit current REST architecture
• Improve parallelization where possible to improve throughput
• Improve fault tolerance, logging and restartability.

All About You:

• Expert Python programmer in a Unix environment
• Proven track record in ML pipeline design including LSF and NiFi
• Experience in designing large-scale data-intensive applications
• Parallel programming experience with Python in Unix

Corporate Security Responsibility:

• Abide by Mastercard’s security policies and practices
• Ensure the confidentiality and integrity of the information being accessed
• Report any suspected information security violation or breach
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines

Open to H1B/OPT EAD/H1B transfers. For GC/USC/H4 EAD they should be local to MO. There would be a Glider test. They must be strong in PYTHON. LOCALS ONLY AND MUST be in the office 5 DAYS A WEEK. Please email resumes to View email address on click.appcast.io.