EverC is a pioneer in cutting-edge technologies that illuminate the darkest corners of the internet, empowering organizations to make data-driven decisions. By leveraging artificial intelligence and machine learning, EverC assesses hundreds of millions of domains to provide unparalleled insights into online risks, hidden relationships, and digital fingerprints. These insights reveal opportunities for scaling businesses confidently while mitigating fraud and risk.

EverC's Data and (Gen) AI-based detection capabilities process millions of data points daily. Our core objectives are identifying threats, revealing patterns, and seizing opes. Maintaining a robust and reliable data infrastructure is paramount to our success.

Your opportunity:

"We are looking for a passionate senior software engineer to help us build the foundation for storing and serving the data of the company's product of the future"

As a Software Engineer at EverC you’ll be expected to:

· Be fully hands-on, lead your parts from A-Z (why, what, how), continuously raise the bar.

· Drive the engineering efforts in a cross-functional squad.

Your day-to-day:

· Design, develop and influence how we process data at scale, together with amazing people.

· Solve diverse complex problems of scale, performance and business logic.

· Work in an agile development methodology.

· Review code, architecture and data to identify and troubleshoot problems and areas for improvement and optimization.

· Share knowledge and mentor other engineers.

Expertise in Java or Python with at least 4+ years of experience in backend development of streaming application at scale.

· Experience with large-scale distributed systems in production.

· Experience with microservices-based architecture.

· Experience designing and implementing large-scale apps in production

· Proficiency in Kubernetes & Kafka (or equivalent streaming enabler).

· Hands-on experience with cloud platforms, preferably AWS.

· Team player, hard worker, quick learner, independent and loves challenges.

· Fluent in English.

· BSC in Computer Science or equivalent.

Preferred qualifications:

· Experience with Spark, Scala, Airflow

· Experience with columnar storage formats and OLAP systems for optimized analytical querying and data storage

· Experience with CI/CD systems (Git Actions, ArgoCD).

• · Experience with infrastructure tools such as Cloud Formation and Terraform.