Senior Java Engineer designing high-throughput services and managing data pipelines for Compliance platform. Working with big data tools and leading development at Trading Technologies.
Responsibilities
Design and implement high-throughput Java services (Spring Boot/Quarkus) that handle billions of records daily.
Lead the integration with Snowflake, optimizing SQL performance and data modeling for massive time-series datasets.
Optimize Spark jobs for memory, parallelism, and cost efficiency. Tune database queries and processing jobs for terabyte-scale datasets.
Collaborate with Data Science teams to deploy and scale Machine Learning models into production environments.
Requirements
7+ years of professional experience with Java and deep knowledge of JVM tuning.
Proven experience with Apache Spark and managing large-scale data warehouses, specifically Snowflake.
Expert-level proficiency with AWS (Lambda, S3, EMR, DynamoDB, and SNS/SQS).
Experience building "AI-ready" pipelines or integrating with LLMs/ML frameworks.
Experience mentoring junior developers and driving "big picture" design decisions.
Demonstrated experience with Apache Kafka, Kinesis, or other streaming platforms (preferred).
In-depth knowledge of orchestration tools (e.g., Apache Airflow, AWS Step Functions) and containerization (Docker/Kubernetes) (preferred).
Experience in financial services, trading systems, or market surveillance, with an understanding of regulatory compliance requirements (MiFID II, Dodd-Frank, MAR) (preferred).
Benefits
TT is a company in an exciting growth phase, having benefited from new ownership and investment over the last 5 years.
A compelling suite of products, and plans for significant product development in 2026 and onwards.
An established and mature core product offering, with a well known and well respected brand identity.
A dynamic and positive company culture that fosters employee growth and rewards results.
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