EVAM operates a real-time event processing platform targeting financial services and telecom, built on Java, Spring Boot, Kafka, and PostgreSQL across AWS, GCP, and Azure. The company is actively scaling Kubernetes infrastructure and building observability tooling while pursuing an AI-powered event processing engine—work that aligns with pain points around reliability and zero-downtime releases in distributed systems. Sales is mid-reorganization (strategy definition and org upgrade in flight), suggesting a pivot toward more structured go-to-market motion.
EVAM is a platform vendor for real-time customer engagement and event-driven marketing in banking, telecom, and retail. The product ingests billions of interactions, detects patterns via streaming analytics, and orchestrates personalized customer actions across channels in real-time. Core use cases include revenue growth, churn prevention, fraud detection, and operational cost reduction. The company operates from Istanbul and serves primarily enterprise buyers who need sub-second decision-making at scale.
Java, Spring Boot, Kafka, PostgreSQL, Redis, MongoDB, Oracle. Infrastructure: AWS, GCP, Azure, Kubernetes, Terraform, Ansible. CI/CD: Jenkins, GitHub Actions.
Yes. EVAM has 2 active engineering roles (posted across 6 total open positions). Current hiring velocity is accelerating, all positions in Turkey.
AI-powered event processing engine, real-time ML capabilities, Kubernetes scaling, CI/CD pipeline improvements, observability stack, and sales org restructuring.
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