Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine * Fraud Innovation Firm of the Year, Finance Monthly * 50 Most Promising Startups, Bloomberg * Best Places to Work in the Bay Area, 2016-2019 * Inc Magazine Best Places to Work, 2017-2019, Forbes FinTech 50
Signifyd | Back End Engineer, Front End Engineer, Infrastructure Lead Engineer, Software Engineering Manager | San Jose OR Remote OR Belfast, UK
www.signifyd.com
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine, 2017 * Fraud Innovation Firm of the Year, Finance Monthly, 2017 * 50 Most Promising Startups, Bloomberg, 2017 * Best Places to Work in the Bay Area,2016, 2017 & 2018 * Forbes FinTech 50, Forbes, 2016
Signifyd | Backend Engineer, Frontend Engineer, Infrastructure Lead Engineer, Security Engineer | San Jose, Belfast, OR Remote
www.signifyd.com
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine, 2017 * Fraud Innovation Firm of the Year, Finance Monthly, 2017 * 50 Most Promising Startups, Bloomberg, 2017 * Best Places to Work in the Bay Area,2016 and 2017 * Forbes FinTech 50, Forbes, 2016
Signifyd | Backend Engineer, Frontend Engineer, Infrastructure Lead Engineer, Security Engineer | San Jose OR Remote
www.signifyd.com
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine, 2017 * Fraud Innovation Firm of the Year, Finance Monthly, 2017 * 50 Most Promising Startups, Bloomberg, 2017 * Best Places to Work in the Bay Area,2016 and 2017 * Forbes FinTech 50, Forbes, 2016
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
We are hiring remote engineers in the US, as well as engineers to build out our new team in Belfast, UK.
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine, 2017 * Fraud Innovation Firm of the Year, Finance Monthly, 2017 * 50 Most Promising Startups, Bloomberg, 2017 * Best Places to Work in the Bay Area,2016, 2017, and 2018 * Forbes FinTech 50, Forbes, 2016
Signifyd | Software Engineering Manager, Back End Engineer, Front End Engineer, Machine Learning Engineer, Data Scientist, Product Manager | San Jose
www.signifyd.com
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine, 2017 * Fraud Innovation Firm of the Year, Finance Monthly, 2017 * 50 Most Promising Startups, Bloomberg, 2017 * Best Places to Work in the Bay Area,2016 and 2017 * Forbes FinTech 50, Forbes, 2016
Signifyd | Backend Engineer, Data Scientist, Infrastructure Lead Engineer, Head of Product | San Jose
www.signifyd.com
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine, 2017 * Fraud Innovation Firm of the Year, Finance Monthly, 2017 * 50 Most Promising Startups, Bloomberg, 2017 * Best Places to Work in the Bay Area,2016 and 2017 * Forbes FinTech 50, Forbes, 2016
Signifyd | Backend Engineer, Machine Learning Engineer, DevOps Lead Engineer | San Jose
www.signifyd.com
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
Signifyd - Back End and Machine Learning Engineers - San Jose - Full Time
www.signifyd.com/careers/
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming.
Signifyd | Mid-level / Senior Software Engineer | San Jose | Onsite | Full-time
Signifyd is a 115-person startup that was named one of the 50 most innovative Fintech companies of 2016 by Forbes, and our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
We are hiring back-end, front-end and machine learning engineers that want to take their skills and experience and applying them to the fraud domain to combat online transaction fraud and make the world of e-commerce a better place.
https://www.signifyd.com/careers/belfast/
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The tools you build will immediately impact the 5000+ merchants that already rely on Signifyd to help them grow without fear of fraud.
Our stack: Java, Python, Cassandra, MySQL, Solr, Apache Spark, Play! framework, Linux, Docker, AWS
Read about our growth in Belfast here: https://syncni.com/view/2553/raj-ramanand-signifyd-ceo-and-c...
Apply here: https://www.signifyd.com/careers/
PS: Some of our awards include * Best Company Culture, Entrepreneur Magazine * Fraud Innovation Firm of the Year, Finance Monthly * 50 Most Promising Startups, Bloomberg * Best Places to Work in the Bay Area, 2016-2019 * Inc Magazine Best Places to Work, 2017-2019, Forbes FinTech 50