Senior Backend Developer (Golang/Java)

TL;DR

Senior Backend Developer (Golang/Java): Design, implement, and maintain backend services for data storage and enrichment using Go and Java with an accent on pipelines for processing, validating, and enriching trading data and PostgreSQL optimization. Focus on optimizing data storage schemas, queries, performance, and building fault-tolerant high-load systems with microservices architecture.

Location: Hybrid work format with flexible working hours and well-equipped offices. Relocation support available.

Company

World’s largest financial analysis platform with more than 100M users across 180+ countries, building tools for traders and investors including advanced charting, market data, collaboration, and publishing features.

What you will do

• Design, implement, and maintain backend services for data storage and enrichment using Go and Java.
• Build and maintain pipelines for processing, validating, and enriching trading data.
• Optimize data storage schemas, queries, and performance in PostgreSQL.
• Collaborate with engineering teams to integrate services and maintain system reliability.
• Participate in architectural discussions and contribute to long-term platform design.
• Write high-quality, maintainable, tested code; conduct code reviews and support monitoring, troubleshooting, incident resolution.

Requirements

• 5+ years of professional backend development experience with strong proficiency in Go and Java.
• Experience with relational databases, preferably PostgreSQL, including schema design, query optimization, and performance tuning.
• Strong understanding of data pipelines, batch and near-real-time processing.
• Experience designing fault-tolerant, high-load backend systems.
• Familiarity with distributed systems and microservices architecture.
• Excellent problem-solving skills and ability to collaborate with multiple teams.

Nice to have

• Experience with data enrichment, aggregation, or transformation pipelines.
• Knowledge of caching layers, indexing, or time-series data storage.
• Familiarity with streaming systems (Kafka, RabbitMQ, or similar).
• Experience in financial/trading domain.
• Exposure to cloud environments, containerization, and CI/CD practices.

Culture & Benefits

• Flexible working hours and hybrid work format.
• Global, distributed team of 500+ professionals from 40+ countries.
• Learning, mentorship, and long-term career growth opportunities.
• Relocation support and private health insurance.
• Performance-based bonuses and hirify.global Premium access.
• Regular team events and company-wide meetups.