Summary:

Our mission is to pioneer advanced Feature and ML Platforms to accelerate the Financial Integrity org, by providing an uncompromised top industry risk, compliance and customer care experiencesAI is one of Meta’s leading investment areas as part of the financial activity expansion in our portfolio of products. As part of this, we are building best-in-class infrastructure using best-in-class ML technologiesThe team is composed of software engineers, machine learning engineers, data scientists in developing state of the art backend systems and ML Infrastructure and our focus is to continue to lead industry standards in the FinTech space.

Required Skills:

Software Engineer, Infrastructure Responsibilities:

1. Lead complex technical efforts across many engineers

2. Design core, backend software components

3. Code using primarily C/C++, Java, PHP and Hack

4. Interface with other teams to incorporate their innovations and vice versa

5. Conduct design and code reviews

6. Analyze and improve efficiency, scalability, and stability of various system resources

7. Set direction and goals for the team regarding project impact, product quality and engineering efficiency

8. Lead major initiatives, projects, teams, roll-outs and phased-releases

9. Helps onboard new team members, provides mentorship and enables successful ramp up on your team's code bases

10. Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

Minimum Qualifications:

Minimum Qualifications:

11. Programming experience in either C, C++, Java, C# or other relevant coding languages

12. Relevant experience building large-scale infrastructure applications or similar experience

13. Experience building and shipping high quality work and achieving high reliability

14. Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

15. Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions

16. Track record of mentoring and growing other Engineers

17. Defining and leading long term plans for the team

Preferred Qualifications:

Preferred Qualifications:

18. Bachelor's or Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

19. Familiarity with Machine learning algorithms or infrastructure

20. Working with large scale data systems

21. Experience in the FinTech industry

Industry: Internet