Grid Dynamics
Senior Low Latency Rust Engineer

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About The Opportunity
Join a world-leading global investment bank where technology sits at the heart of the business. Every day, the engineering organization builds and supports mission-critical platforms that power global financial markets, processing enormous volumes of market data and enabling electronic trading across multiple asset classes.
You'll join a specialist engineering team responsible for designing the high-performance frameworks, tooling and infrastructure that underpin low-latency trading systems used across the organization. This is an opportunity to work on software where microseconds matter, solving some of the most technically demanding challenges in modern distributed systems engineering.
The Role
We're looking for an experienced Senior Low Latency Rust Engineer to join a specialist High Performance Architecture team focused on building reusable frameworks and platform capabilities that enable the next generation of electronic trading applications.
The team operates as an internal centre of engineering excellence, partnering with development teams across multiple trading businesses to modernise applications, improve performance and build highly scalable event-driven platforms.
This is a genuinely hands-on engineering role, with approximately 90% of your time spent writing production code.
You'll develop sophisticated event-driven systems operating with response times measured in 10–100 microseconds, delivering the infrastructure that powers mission-critical algorithmic trading applications.
Responsibilities
What You'll Be Working On
You'll help design and develop the core frameworks and utilities that support electronic trading platforms, including:
- Low latency event-sourcing frameworks
- Market data replay platforms
- Trading simulation and back-testing utilities
- High-performance microservices
- Algorithmic trading infrastructure
- Market data processing systems
- Performance profiling and optimisation
- Modernisation of mission-critical trading applications
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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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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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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.
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You'll also work closely with engineering teams across the business, helping modernise existing trading platforms while mentoring engineers on low-latency engineering techniques and software design best practices.
Responsibilities
- Design and develop ultra-low latency applications using Rust and Java
- Build high-performance event-driven microservices
- Engineer reusable frameworks supporting electronic trading and algorithmic execution
- Develop market data replay and simulation tooling
- Optimise applications operating within 10–100 microsecond latency targets
- Analyse complex performance bottlenecks across the JVM, Linux and networking stack
- Improve scalability, throughput and determinism of distributed trading systems
- Collaborate with engineering teams modernising trading applications
- Mentor developers on low-latency design and performance engineering
- Contribute to architecture, design discussions and engineering standards
Requirements
Required Experience
We're looking for engineers who are passionate about software performance and elegant engineering.
You'll Ideally Bring Experience With:
- Strong commercial Rust or Java development
- Ultra-low latency systems
- Algorithmic trading platforms
- Electronic trading infrastructure
- Market data technologies
- Event-driven architectures
- Event sourcing
- Distributed systems
- Linux systems programming
- JVM internals
- Performance profiling and optimisation
- TCP/IP networking
- Microservices
- Design of reusable application frameworks


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Technology Stack
You'll work with a highly technical stack including Rust, Java, C++, KDB, Linux, JVM, event sourcing, microservices, market data, algorithmic trading systems, TCP/IP, Solarflare OpenOnload, kernel bypass networking, UML, distributed systems, performance profiling and high-performance application architecture.
Nice to have
Desirable Experience
Experience with any of the following would be advantageous:
- C++
- KDB+/q
- Time-series databases
- Hardware-accelerated networking
- Solarflare OpenOnload
- Exchange connectivity
- Trading simulation platforms
- Back-testing engines
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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