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

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Onsite

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

Grid Dynamics

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

Skills

KotlinJavaMicroservicesOracle DatabaseKubernetesOracleRisk Management

23 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

29 September 2026

What they need


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.

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

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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