Software Engineer

About the Role

EverC, now part of G2 Risk Solutions, is a pioneer in its field. By using technologies that illuminate the darkest corners of the internet and provide unparalleled visibility into the largest source of data in the world, the internet. EverC uses artificial intelligence and machine learning techniques to assess hundreds of millions of domains and effectively categorize the internet. These insights shine a light on hidden relationships and risks, identify an entity’s full digital fingerprint, and reveal new opportunities to scale businesses efficiently and confidently.

Your opportunity:

We are looking for a passionate 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 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.

Requirements:

• Expertise in Java or Python with at least 5+ 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.
• Good Communication skills.
• 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.
• Experience with agentic tools.