Senior Software Engineer - Risk & Fraud
THE CHALLENGE
As Eventbrite continues to grow and expand its reach, the challenge of protecting our users from bad actors, collusion, inappropriate content, and financial fraud and abuse becomes increasingly important. The Risk & Fraud Engineering team works behind the scenes to ensure our creators get paid and our attendees find amazing events. Keeping ahead of fraudsters requires a balance of proactivity and reactivity and the agility to switch focus when necessary. Our Engineers make sure we keep up without our customers noticing by designing low profile data-drive solutions to the ever-changing landscape of threats.
If the idea of working on one of the highest impact teams at Eventbrite whose problem space is constantly evolving excites you, we want to hear from you!
THE TEAM
The Risk and Fraud team is a crosscutting team that owns a platform with connections to many different parts of Eventbrite’s site. We protect everything from account creation to event payout, and we have the opportunity to impact the success of all parts of the company. The team is cross-functional, with software engineers, data scientists, data analysts, product managers and an engineering manager working together to tackle these complex problems in creative ways. We value collaboration, both with each other and with other teams, clear and proactive communication, opportunities to learn, as well as biases for action.
THE ROLE
As a Sr. Software Engineer, you will be responsible for building and maintaining the risk and fraud platform, including the interfaces with models built by data scientists and with client code, as well as helping us plan for the future technological path for our tech stack. You will have the opportunity to learn from Staff Engineers and Data Scientists, as well as to mentor junior engineers. You will also be part of the team’s on-call program.
THE TECH STACK
The existing tech stack is primarily written in Python with a Django framework, with some components written in TypeScript, all hosted on AWS. Other technologies we use include MySQL, DynamoDB, lambda, CDK, OpenSearch, Celery, Snowflake, Airflow, and SageMaker. You will also be a part of influencing the technical direction for the next iteration of our platform.
THE SKILLSET
You have 4+ years of experience building low latency software applications to scale
You have strong experience in high level languages such as Python, TypeScript
You have experience working with cloud platforms such as AWS, Azure
You have experience working with both SQL and NoSQL DBs
You write testable, maintainable code
You have a bias for action and can deliver autonomously
You are a strong communicator and comfortable working with a wide range of stakeholders in different functional areas
You enjoy mentoring and being mentored
You write excellent documentation
BONUS POINTS FOR
You enjoy working in a cross functional team
You have experience in an anti-abuse space in e-commerce, especially in marketplace companies, such as fraud, spam, content policy or trust and safety
You have experience in data engineering
About the job
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Senior Software Engineer - Risk & Fraud
THE CHALLENGE
As Eventbrite continues to grow and expand its reach, the challenge of protecting our users from bad actors, collusion, inappropriate content, and financial fraud and abuse becomes increasingly important. The Risk & Fraud Engineering team works behind the scenes to ensure our creators get paid and our attendees find amazing events. Keeping ahead of fraudsters requires a balance of proactivity and reactivity and the agility to switch focus when necessary. Our Engineers make sure we keep up without our customers noticing by designing low profile data-drive solutions to the ever-changing landscape of threats.
If the idea of working on one of the highest impact teams at Eventbrite whose problem space is constantly evolving excites you, we want to hear from you!
THE TEAM
The Risk and Fraud team is a crosscutting team that owns a platform with connections to many different parts of Eventbrite’s site. We protect everything from account creation to event payout, and we have the opportunity to impact the success of all parts of the company. The team is cross-functional, with software engineers, data scientists, data analysts, product managers and an engineering manager working together to tackle these complex problems in creative ways. We value collaboration, both with each other and with other teams, clear and proactive communication, opportunities to learn, as well as biases for action.
THE ROLE
As a Sr. Software Engineer, you will be responsible for building and maintaining the risk and fraud platform, including the interfaces with models built by data scientists and with client code, as well as helping us plan for the future technological path for our tech stack. You will have the opportunity to learn from Staff Engineers and Data Scientists, as well as to mentor junior engineers. You will also be part of the team’s on-call program.
THE TECH STACK
The existing tech stack is primarily written in Python with a Django framework, with some components written in TypeScript, all hosted on AWS. Other technologies we use include MySQL, DynamoDB, lambda, CDK, OpenSearch, Celery, Snowflake, Airflow, and SageMaker. You will also be a part of influencing the technical direction for the next iteration of our platform.
THE SKILLSET
You have 4+ years of experience building low latency software applications to scale
You have strong experience in high level languages such as Python, TypeScript
You have experience working with cloud platforms such as AWS, Azure
You have experience working with both SQL and NoSQL DBs
You write testable, maintainable code
You have a bias for action and can deliver autonomously
You are a strong communicator and comfortable working with a wide range of stakeholders in different functional areas
You enjoy mentoring and being mentored
You write excellent documentation
BONUS POINTS FOR
You enjoy working in a cross functional team
You have experience in an anti-abuse space in e-commerce, especially in marketplace companies, such as fraud, spam, content policy or trust and safety
You have experience in data engineering