Java Software Engineer (Data Systems)

Selby Jennings; Oakland (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Selby Jennings is partnering with a technology-focused firm building systems at the intersection of financial markets and low-latency data. They seek a hands-on Java Engineer to develop high-throughput data processing systems where performance and correctness matter.

The role involves building Java components, optimizing data workflows, and collaborating with engineering and infrastructure teams in a hybrid environment with three days on-site.

Qualifications

• 5+ years of software engineering experience.
• Experience building backend services or data-processing systems beyond CRUD.
• Strong knowledge of data structures, algorithms, concurrency, and system design.
• Experience with high-throughput, multithreaded, or performance-sensitive systems.
• Familiarity with Spring Boot, AWS/GCP, CI/CD, SQL, Python, and Unix-based environments.
• Exposure to time-series, streaming, event-driven, or large-scale data environments.

Responsibilities

• Build and improve Java components for high-volume data processing.
• Transform and validate time-series and event-driven data workflows.
• Enhance performance, reliability, observability, and test coverage.
• Troubleshoot production issues related to latency, throughput, ordering, and data correctness.
• Collaborate closely with engineering and infrastructure teams on production systems.

Skills

Software engineering

Backend services

Data structures

Concurrency

System design

High-throughput systems

Tools

Spring Boot

AWS/GCP

CI/CD

SQL

Python

Unix-based environments

Kafka

Job description

I'm partnering with a technology-focused firm building systems at the intersection of financial markets, low-latency data, and advanced infrastructure. They're looking for a hands‑on Java Engineer to develop and enhance high-throughput data processing systems where performance, correctness, and reliability are critical.

What You’ll Do

• Build and improve Java components for high-volume data processing
• Transform and validate time‑series and event‑driven data workflows
• Enhance performance, reliability, observability, and test coverage
• Troubleshoot production issues related to latency, throughput, ordering, and data correctness
• Collaborate closely with engineering and infrastructure teams on production systems

What They’re Looking For

• 5+ years of software engineering experience
• Experience building backend services or data‑processing systems beyond CRUD applications
• Strong knowledge of data structures, algorithms, concurrency, and system design
• Experience with high-throughput, multithreaded, or performance‑sensitive systems
• Familiarity with Spring Boot, AWS/GCP, CI/CD, SQL, Python, and Unix‑based environments
• Exposure to time‑series, streaming, event‑driven, or large‑scale data environments

Nice to Have

• Experience within financial markets, trading, exchanges, or other high‑volume data domains
• Experience with Kafka, Protobuf, Parquet, REST, gRPC, or similar technologies

Hybrid (3 days onsite) | Full-Time