EverC is a pioneer of advanced technology that provides risk intelligence for global enterprises. We use artificial intelligence and machine learning modeling to crawl millions of domains and give our clients full visibility, insight, and understanding of the internet. We shine a light on hidden merchant risk and reveal new opportunities to help businesses grow.

Our company:

Dedicated to safeguarding e-commerce from illicit activities, we collaborate with leading fintechs and marketplaces to seize new business prospects and swiftly eliminate harmful elements.

EverC, a trailblazer in the field, employs cutting-edge technologies, including AI & ML, such as our recently deployed LLM in production. Analyzing hundreds of millions of domains, we effectively categorize the internet, shedding light on hidden relationships and risks, unveiling complete digital fingerprints, and uncovering opportunities for efficient and confident business scaling.

Our expanding clientele includes JPMorgan, Mastercard, Visa, Amex, Adyen, Ali Pay, Amazon Pay, Intuit, Nuvei, Payoneer, Wix, eBay, Doordash, and more. With backing from Viola Capital, American Express Ventures, Nyca Partners, Arbor Ventures, and Red-Dot.

Our Team:

The Core Engineering group specializes in developing EverC's Data & AI-based detection capabilities, processing millions of data points daily. Identifying threats, revealing patterns, and seizing opportunities are our core objectives. Maintaining a robust and reliable data infrastructure is paramount to our success.

Your opportunity:

We are looking for a passionate Senior Software Engineer (Data & ML) to join our team. You will have a key part in developing the core detection capabilities and data pipeline at scale of the company and bringing it to the next level.

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.

Responsabilities

• Design, develop and influence how we process data at scale, together with amazing people.
• Work closely with Data Scientists & Product Managers to deploy and serve ML models & LLMs to production.
• 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.

Qualifications

Baseline qualifications

• 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.
• 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.

Preferred qualifications:

• Experience with Spark & Scala
• Strong advantage for experienced engineers working with deployment and serving of ML models.
• Experience with CI/CD systems (Git Actions, ArgoCD).
• Experience with infrastructure tools such as Cloud Formation and Terraform.