Summary
✨ AI‑Generated
A senior backend engineering opportunity focused on high-performance distributed systems and large-scale real-time data processing. You will build Java components that transform, validate, normalize, and distribute time-series and event-driven data while improving performance, reliability, observability, and test coverage. Visa sponsorship is not available.
Highlights
Work on high-performance distributed systems handling real-time data, with a strong focus on reliability, correctness, latency, throughput, observability, and production engineering.
Description
Senior Java Software Engineer | Market Data & Distributed Systems (No Sponsorships)
A leading technology firm serving the quantitative trading and capital markets industry is seeking a Senior Java Software Engineer to join its data systems team.
This is a hybrid opportunity focused on building high-performance systems that process, validate, transform, and distribute large volumes of real-time market data.
This role is ideal for engineers who enjoy working on backend infrastructure, performance-sensitive applications, event-driven systems, and data-intensive platforms where reliability and correctness are critical.
What You'll Do
Design and develop Java-based components for high-throughput data processing systemsBuild solutions that transform, validate, and normalize time-series and event-driven datasetsEnhance platform performance, reliability, observability, and test coverageInvestigate and resolve production issues related to data quality, latency, throughput, and system behaviorPartner closely with domain experts, platform engineers, and infrastructure teams to deliver scalable, maintainable solutions
What They're Looking For
5+ years of professional software engineering experienceStrong hands-on Java development experienceBackground building backend services, distributed systems, or data-processing platformsSolid understanding of data structures, algorithms, concurrency, and system designExperience working with multithreaded, asynchronous, or performance-sensitive applicationsFamiliarity with streaming, event-driven, time-series, or large-scale data systemsExposure to cloud environments, monitoring/observability tools, CI/CD, and automated testingComfortable with Linux/Unix environments, SQL, Python, and scripting tools
Nice to Have
Experience within financial markets, trading technology, exchanges, or other high-volume data environmentsFamiliarity with technologies such as Kafka, Protobuf, gRPC, Parquet, REST APIs, and related tooling
