Go Backend Engineer - Data Platform & Scalable Systems

Sensor Tower

Kraków

On-site

PLN 180,000 - 240,000

Full time

2 days ago
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Job summary

Sensor Tower’s digital intelligence platform helps teams understand market trends, advertising, competitors, and audiences across mobile, web, and gaming. We’re seeking curious, motivated engineers to help us build fast, reliable systems that make data accessible and understandable for thousands of customers.

You’ll work with senior engineers, ship features from day one, and learn how large-scale systems are designed and optimized in production.

Qualifications

  • 3+ years of Go experience with production-grade software.
  • Strong SQL skills (Postgres/ClickHouse) and ability to write complex queries.
  • Focus on writing testable, maintainable code.
  • Passion for product excellence and user-focused thinking.
  • Curiosity and proactive approach to learning new things.
  • Experience with CI/CD, Docker and Kubernetes is a plus.
  • Ability to pass technical interviews in Russian and English.

Responsibilities

  • Improve and build features for a market intelligence SaaS platform (AppMagic by Sensor Tower).
  • Participate in design, implementation, testing, and releases.
  • Work on parsing, data aggregation, API design, refactoring, and performance tuning.
  • Create and optimize complex database queries for analysis and modification.
  • Perform code reviews and suggest tooling/process improvements.

Skills

Go
SQL
CI/CD
Code quality
Product thinking
Russian language
English language

Tools

PostgreSQL
ClickHouse
MongoDB
Elasticsearch
RabbitMQ
GitLab
Docker
Kubernetes

Job description

Sensor Tower’s digital intelligence platform helps teams understand market trends, advertising, competitors, and audiences across mobile, web, and gaming. We’re seeking curious, motivated engineers to help us build fast, reliable systems that make data accessible and understandable for thousands of customers.

You’ll work with senior engineers, ship features from day one, and learn how large-scale systems are designed and optimized in production.

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