What makes the role special

At Group-IB, we build high-load backend services that power our products in fraud protection, threat intelligence, and digital risk prevention. Our engineering teams work on complex, data-heavy systems that collect, process, and serve large volumes of data in real time to help customers prevent and investigate cyber incidents.

We don’t believe in siloed responsibilities — developers own their features end-to-end: from clarifying requirements and writing code with tests to deploying it, monitoring performance, and maintaining it in production.

We’re looking for a strong backend engineer who enjoys solving engineering challenges at scale and is ready to take full ownership of their work.

Tech stack

• Golang (primary language);
• PostgreSQL, Redis, Elasticsearch, Cassandra;
• RabbitMQ, Kafka, NATS;
• gRPC;
• Kubernetes;
• S3-compatible object storage.

Tasks to solve:

You’ll join one of our cross-functional backend teams working on:

• Designing and implementing new product features and APIs;
• Building integrations with third-party data sources;
• Increasing the share of Golang services;
• Improving performance and scalability (query optimizations, sharding, etc.);
• Integrating services across the Group-IB product ecosystem;
• Developing and maintaining internal platforms used across teams.

The scope is broad — engineers are free to rotate between task types and product areas depending on interest and team needs.

This role is perfect for you if you have:

• 5+ years of professional experience with Golang; other languages is a plus;
• Strong sense of ownership and a product mindset;
• Solid knowledge of SQL and experience with PostgreSQL or similar;
• Comfort working in Linux environments;
• Experience developing production-grade systems and APIs;
• English at upper-intermediate level or higher — we work in an international team and use English in documentation and daily communication.

What else we appreciate in our team:

• Experience with Elasticsearch, Prometheus, Grafana, S3, or Cassandra;
• Experience with Redis or similar in-memory storage;
• Familiarity with message brokers (RabbitMQ, Kafka, NATS);
• Working on high-load or distributed systems;
• Observability skills (metrics, logs, alerts, traces).