Company: ThetaRay (https://www.thetaray.com)
Position Name: Backend Big Data Developer
Level: Mid
Type: Remote
Salary range: 3.5-4k$ net
City: Armenia, Yerevan
HR contact:@seda_hakobyanHere are some more details:ThetaRay is the leading provider of AI-based Big Data analytics.
We are dedicated to helping financial organizations combat financial crimes through money laundering facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking which negatively impact the global economy.
Our Unsupervised and Semi-Supervised Intuitive AI solutions enable clients to manage risk, detect money laundering schemes, uncover operational issues, and reveal valuable new growth opportunities.
About the position:
-Design and develop a scalable data processing and ML pipeline using the latest big data technologies in a fast paced agile environment
- Investigate new technological areas and understand them in depth through rapid self-learning
- Demonstrates strong analytical problem-solving skills to support scalable and sustainable design solutions
- Ability to take ownership of product development including all life cycle stages: translating product requirements into actionable designs and tasks, development, UT, and production troubleshooting
Position Requirements:
- At least 3 years of hands-on development experience
- Experience developing data-oriented products using Python
- Experience in data processing FW such as Spark, Pandas, Hadoop, Airflow
- Experience in Distributed Databases (Such as Elasticsearch, Mongo, Redis, etc’)
- Experience with developing microservices based architecture
- Experience working in container-based environments using tools such as K8s, helm
- Experience working as a software developer in an Agile environment
Nice to have:
- Experience in machine learning FWs such as SKLearn, Tensorflow
- Experience with RedHat OpenShift
- Dev Environment knowledge: GIT, Jenkins, Docker.
ThetaRay AI-powered transaction monitoring for anti-money laundering (AML) provides fintechs, banks, and regulators advanced tools to ensure trust in domestic and cross-border payments.