Staff Backend Engineer - Fraud Decisions
To see similar active jobs please follow this link: Remote Development jobs
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Stripe builds the economic infrastructure for the internet. Building trust between banks, businesses & customers is a key ingredient for Stripe to be successful. Unfortunately, fraudsters & bad actors erode that trust.
The Fraud Decisions team builds decision systems to reduce fraud while retaining a best-in-class user experience. Our work directly impacts Stripe's bottom line, and we help build a safer financial backbone for the internet.
What you’ll do:
Here are some of the problems you will be tackling:
Design a scalable fraud decision platform with centralized backtesting, observability, experimentation, and exemption management.
Create smarter decision frameworks that, in addition to fraud predictions, account for future revenues and losses in every fraud decision.
Build a dynamic risk management layer that automatically adjusts risk parameters for cohorts of merchants in response to evolving threats and attacks - without human involvement.
You will have an outsized impact on the direction, design & implementation of the solutions to these problems.
Responsibilities:
Setting the technical direction and roadmap for the team to achieve business goals.
Building systems that evaluate businesses for various types of fraud, and take appropriate actions.
Proposing new decision policies and actions that directly reduce Stripe’s fraud losses.
Debugging production issues across services and multiple levels of the stack.
Helping engineers across the company to develop technologies for scaling our infrastructure.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
At least 8 years of experience designing, building, and maintaining distributed systems
Experience driving large projects across multiple teams to achieve critical business goals
Strong knowledge of cloud platforms, micro-services, and event-driven architecture
Proven track record of building scalable, high-availability systems
Excellent problem-solving skills and the ability to think strategically about risk
Experience mentoring senior engineers
Thrive in a collaborative environment
Preferred qualifications
Previous tech lead for a team, org, or large effort
Experience collaborating with ML teams
Experience with Java or Ruby
Experience with Spark
About the job
Staff Backend Engineer - Fraud Decisions
To see similar active jobs please follow this link: Remote Development jobs
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Stripe builds the economic infrastructure for the internet. Building trust between banks, businesses & customers is a key ingredient for Stripe to be successful. Unfortunately, fraudsters & bad actors erode that trust.
The Fraud Decisions team builds decision systems to reduce fraud while retaining a best-in-class user experience. Our work directly impacts Stripe's bottom line, and we help build a safer financial backbone for the internet.
What you’ll do:
Here are some of the problems you will be tackling:
Design a scalable fraud decision platform with centralized backtesting, observability, experimentation, and exemption management.
Create smarter decision frameworks that, in addition to fraud predictions, account for future revenues and losses in every fraud decision.
Build a dynamic risk management layer that automatically adjusts risk parameters for cohorts of merchants in response to evolving threats and attacks - without human involvement.
You will have an outsized impact on the direction, design & implementation of the solutions to these problems.
Responsibilities:
Setting the technical direction and roadmap for the team to achieve business goals.
Building systems that evaluate businesses for various types of fraud, and take appropriate actions.
Proposing new decision policies and actions that directly reduce Stripe’s fraud losses.
Debugging production issues across services and multiple levels of the stack.
Helping engineers across the company to develop technologies for scaling our infrastructure.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
At least 8 years of experience designing, building, and maintaining distributed systems
Experience driving large projects across multiple teams to achieve critical business goals
Strong knowledge of cloud platforms, micro-services, and event-driven architecture
Proven track record of building scalable, high-availability systems
Excellent problem-solving skills and the ability to think strategically about risk
Experience mentoring senior engineers
Thrive in a collaborative environment
Preferred qualifications
Previous tech lead for a team, org, or large effort
Experience collaborating with ML teams
Experience with Java or Ruby
Experience with Spark