Grid Dynamics
Senior Low-Latency Java Engineer

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Senior Low-Latency Java Engineer
We are seeking an expert Senior Low-Latency Java Engineer to join our team.
Responsibilities
- Latency Optimization: Profile, analyze, and systematically eliminate long-tail latency spikes across the FX eTrading application pipeline.
- Zero-GC Engineering: Design, write, and refactor high-throughput core Java code utilizing zero-allocation and low-GC techniques.
- JVM Performance Tuning: Perform deep profiling and tuning of the JVM/JRE runtime, memory usage, thread scheduling, and execution paths.
- Framework Development: Build and maintain high-performance execution workflows utilizing specialized low-latency Java frameworks (e.g., Ambrosia) and telemetry stacks (Grafana, KDB+).
- Cross-Functional Collaboration: Partner with quant developers, system architects, and trading desks to optimize order execution, pricing engines, and market data feeds.
Requirements
- Strong expertise in core Java engineering with a dedicated focus on ultra-low latency and high performance.
- Deep knowledge of JRE/JVM internals, memory architecture, and zero-GC / low-allocation design patterns.
- Hands-on proficiency with Java profiling tools (e.g., Java Flight Recorder, Async-Profiler, JProfiler) and performance diagnostic techniques.
- Proven track record of performance tuning, thread concurrency management, and long-tail latency reduction in production systems.
- Strong operating knowledge of Linux system internals, memory management, and high-performance I/O.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Nice to have
- Domain knowledge of FX (Foreign Exchange) electronic trading, algorithmic execution, or market data platforms.
- Experience with low-latency frameworks and libraries (e.g., LMAX Disruptor, Chronicle Queue/Map, Aeron, or proprietary execution engines).
- Familiarity with telemetry and quantitative analysis tools such as KDB+/q and Grafana.
- Background in hardware-accelerated networking, kernel bypass, or CPU pinning/affinity strategies.
We offer


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- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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