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TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We are looking for a Software Engineer to join a greenfield initiative focused on integrating DEX crypto trading into the TradingView ecosystem. You will work within the Data Integration cluster on systems that ingest, normalize, and serve decentralized market data powering TradingView’s charting and trading capabilities. This role is well-suited for an engineer experienced in building scalable, data-intensive systems who is interested in working with emerging financial and decentralized technologies.
Job Responsibility:
Design, implement, and maintain services for ingesting and integrating market and blockchain-derived data into TradingView’s infrastructure
Build reliable pipelines for real-time and historical data processing
Contribute to architectural decisions with a focus on scalability, correctness, and performance
Write high-quality, well-tested, and well-documented code
actively participate in code reviews
Collaborate with Product Managers to translate product requirements into technical solutions
Work with DevOps, Security, and Infrastructure teams on deployment, monitoring, and operational reliability
Continuously improve system observability, resilience, and data quality
Requirements:
Strong software engineering experience in data-intensive, backend, or distributed systems
Solid understanding of data ingestion pipelines, stream or near–real-time processing, and API integrations
Proficiency in modern programming languages such as Go and Python
Experience with cloud-native architectures and DevOps practices
Ability to reason about data models, system behavior, and technical trade-offs
Clear written and verbal communication skills
Nice to have:
Experience with blockchain technologies, smart contracts, or DEX protocols (e.g., Uniswap, 0x, SushiSwap)
Prior work in fintech, trading, or market data platforms
Contributions to open-source projects, especially in data engineering or crypto/DeFi
Background in computer science, mathematics, or other STEM disciplines
What we offer:
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work