About the role:
We handle >2B person entities stored jointly in various database engines to support different fetching requirements, while processing >200k events per second
What you'll be doing:
- Have a key part in improving the systems helping Forter prevent fraud for our merchants by identifying millions of decisions a day
- Design, build, and maintain Near-real-time data pipelines
- Take initiative: A large portion of the work are initiatives are pushed by the engineers
- Work in a rich ecosystem of storage and data technologies, to name a few: Elasticsearch, Aerospike, Spark, Redis, RocksDB, S3, Snowflake and many more
- Provide software solutions to complicated challenges we face on a daily basis
What you'll need:
- 5+ years of proven experience in designing and building large-scale production systems.
- Strong Java and/or Python skills.
- Experience (or good familiarity) with streaming technologies such as Storm, Flink, Spark Streaming.
- Familiarity with concepts such as Queue/DLQ, Topics and general streaming practices (backpressure, circuit-breaker, etc).
- Experience with various databases or data stores such as Elasticsearch, Redis, MySQL, Couchbase, MongoDB, Cassandra, Aerospike, etc.
- Experience with AWS or other public clouds.
- Excellent communication and interpersonal skills.
It'd be cool if you also: [not a must]
- Profiled and optimized code to the millisecond level.
- Experience with event streaming frameworks.
- Strong written-English skills
Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including:
- Great Place to Work Certification (2021, 2022, 2023)
- in NYC (2022)
- #3 on of “Most Innovative Finance Companies” (2022)
- Forbes Cloud 100 (2021, )
- SAP Pinnacle Awards “ ” (2023)
- Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)