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# Software Developer

- **Company:** Grid Dynamics (nasdaq: Gdyn)
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Continuous Integration, Data Integrity, Java Virtual Machine (JVM), Machine Learning, Software Engineering, Trunk-based Development, Multithreading, Test-Driven Development (TDD), Kotlin, Event Driven Architecture, Information Technology, Event Sourcing, Code Restructuring, Serverless Computing, Legacy Systems
- **Published:** October 9, 2026
- **Apply:** https://www.dice.com/job-detail/6fa2840a-713d-4d04-92fe-0fb8172c9dc1

## About the Role

* Expert-level Java, with Kotlin experience or a clear appetite for it (enterprise-grade systems, multi-threading, performance).
 * BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience
 * Practical experience designing and building event-driven systems on message-passing and event-sourcing patterns, including failure handling, ordering guarantees and replay semantics.
 * Test-Driven Development as a practice, not an aspiration: you own quality end-to-end, you design for testability, and you can demonstrate it through how you approach a problem (this is assessed at interview).
 * Hands-on experience in or alongside a capital markets trading or post-trade environment: the trade lifecycle, trade booking and position management, and post-trade operations such as cashflow calculation, settlement and wires, client reporting, and accounting principles. You should be able to back this up with concrete examples, not high-level familiarity.
 * A track record in genuine iterative delivery incl. short feedback loops, trunk-based development, CI/CD, and regular zero-downtime production releases. No waterfall projects labelled as agile.
 * Proven ability to analyse, refactor and modernise large-scale legacy systems while maintaining stability.
 * Senior-level autonomy: you contribute to design discussions, push back constructively on technical decisions, and operate with minimal supervision in a complex production environment.

## Description

* Re-engineering core trading and post-trade systems into event-driven, cloud-native services on the JVM (Java and Kotlin).
 * Modernising legacy components while keeping a live, financially significant platform stable.
 * Building the new data and market-expansion platforms that underpin the programme, and the plumbing for advanced client features such as cross-margining and credit financing.
 * Designing for the realities of event-driven systems: failure handling, ordering guarantees, replay semantics, and data integrity under market pressure.
 * Practising TDD and shift-left testing as the default. Local-first testing with containerised dependencies, fast feedback loops, and owning the quality of your deliverables end-to-end rather than handing it to a QA group.
 * Delivering iteratively: trunk-based development, CI/CD, and frequent (weekly or better) production releases during business hours with no service interruption.
 * Engaging directly with business stakeholders and upstream/downstream teams to build your own domain knowledge, rather than relying on Business Analysts to hold it for you.
 * Using AI-assisted and agentic development tooling as a genuine accelerator for analysis of legacy code, test generation, prototyping and refactoring.