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:
* 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).