Grid Dynamics
Senior Kotlin / Java Engineer – Distributed Systems (Equity Derivatives)

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Job Title
We are looking for a candidate with strong Java and / or Kotlin, good oracle skills and experience, and knowledge of and experience developing and running high-throughput distributed systems. Kubernetes knowledge also preferred.
Responsibilities
- System Architecture & Development: Design, build, and optimize high-throughput distributed services using Kotlin and Java.
- Temporal Data Platform Evolution: Scale and maintain the Area 51 platform to ensure fast, reliable access to large volumes of temporal instrument data for risk and trading engines.
- Database Optimization: Partner with complex Oracle Database environments—optimizing queries, data access patterns, and throughput for massive enterprise datasets.
- Container Orchestration: Manage, deploy, and scale microservices on Kubernetes.
- Senior Engineering Practice: Participate in architectural discussions, maintain high test coverage, and drive code quality within a close-knit, expert team.
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.
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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.
Requirements
- Strong hands-on engineering experience in Kotlin and/or Java.
- Proven track record designing, building, and operating high-throughput, distributed backend systems.
- Deep expertise with Oracle Database (query performance, schema design, and enterprise data management).
- Practical production experience deploying and running microservices on Kubernetes.
- Solid understanding of data structures, concurrency, and performance tuning for high-volume enterprise software.
Nice to Have
- Domain experience in financial services, specifically Equity Derivatives, Market Data, or Risk Management platforms.
- Exposure to temporal database concepts or high-volume financial data modeling.
- Experience with event-driven architectures and message-oriented middleware.
- Strong background in automated testing, CI/CD pipelines, and modern DevOps practices.
We Offer
- 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


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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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