Java Software Engineer

A global startup developing advanced AI technology to enhance the reliability of the crypto market by detecting fraud and trade manipulation.

The product is already in production, and its clients include many of the world’s leading exchanges, financial institutions, and crypto companies.

The company has raised $70M, employs 70 people globally, with 30 based in Israel.

Located in Tel Aviv near a train station, they operate a flexible hybrid model, allowing up to 3-4 work-from-home days per week.

Responsibilities-

• Design and develop the data's team micro services - Java services running on K8S.
• Tackle data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more.
• Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources.
• Enrich financial data through third-party data integrations.
• Develop and maintain our data pipeline written mostly in Java and running on K8S in a micro-service architecture.
• Plan and communicate integrations with other teams that consume the data and use it for insights creation.
• Ongoing improvement of the way data is stored and served. Improve queries and data formats to make sure the data is optimized for consumption by a variety of clients.

Requirements-

• BSc. in Computer Sciences from a top university, or equivalent.
• Strong background as a software engineer with at least 2+ years' experience with Java.
• 5 years in data engineering, and data pipeline development on high-volume production environments.
• 2 years' experience with monitoring systems (Prometheus, Grafana, Zabbix, Datadog).
• Experience working in fintech or trading industries.
• Experience in object-oriented development. Should have strong software engineering foundations.
• Experience with data-engineering cloud technologies as Apache Airflow, K8S, Clickhouse, Snowflake, Redis, cache technologies and Kafka.
• Experience with relational and non-relational DBs. Proficient in SQL and query optimizations.
• Experience with designing infrastructure to maintain high availability SLAs.
• Experience with monitoring and managing production environments.
• Curiosity, ability to work independently and proactively identify solutions. Strong communication skills.