Software Engineer, Applied Machine Learning - USDS

About the Team:
AML (Applied Machine Learning) Platform team combines system engineering and the art of machine learning to develop and run a massively distributed AML system for the United States and all around the world.

On the AML Platform team, you'll have the opportunity to sharpen your expertise in coding, performance analysis, and large-scale systems operation. Join us and you'll have the chance to shape the future of AML systems and make a real, tangible impact on TikTok users.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities:
Design, build, and maintain highly available, scalable, and fault-tolerant systems.
Update existing AML systems and enhance existing software capabilities.
Ensure that applications are designed with reliability, scalability, and performance in mind.
Monitor and analyze system performance, identifying and resolving issues before causing user impact.
Develop and maintain automated monitoring, alerting, and incident response systems.
Implement and maintain security best practices and ensure compliance with regulatory requirements.
Participate in on-call rotations and respond to issues and incidents within and outside of normal business hours.
Conduct root cause analysis of incidents, hold post-mortem reviews with stakeholders, and implement preventative measures to minimize the risk of similar incidents occurring in the future.