QA Automation (Trading Systems)
- Full-time
- SBU: Technology
Company Description
We believe the power of risk-driven investing can help anyone achieve a better life. And we’re here to make this potential a reality for an emerging global generation.
We provide individuals in the world’s fast-developing economies with guidance, tools, and easy market access so they can trade and invest with confidence. We aim to make our clients their own wealth manager: empowered to create investment strategies and make investment decisions effortlessly, in their own time, on their own terms, in their own way.
Our story goes back to the first days of online Forex trading - a pioneer of the Metatrader platform, Alpari, expanded rapidly in the world’s emerging markets and was joined in 2011 by our sister brand, FXTM. Now, we are adding further brands to our portfolio. Together, both brands have built a leading global presence in online trading serving over two million clients in 150 countries from regulated centres across four continents.
Exinity is an energetic and diverse company with offices across Europe, Asia and Africa, and we’re always looking for talented individuals to join us. ‘Freedom to Succeed’ is not just a promise we make to our clients and partners, but to our people too. We’ll help you develop a range of skills, take on early responsibility, and enjoy a rewarding and fulfilling career with a fast-growing, dynamic company.
Job Description
We are looking for a highly experienced QA Automation Engineer to ensure the quality, reliability, and performance of our real-time trading systems in a global Forex/CFD environment.
You will work closely with developers, product teams, and dealing/risk departments to design robust automated testing frameworks for pricing, order execution, trading cores, market data feeds, risk engines, and integrations with external liquidity providers.
Responsibilities
Automated Testing
Design, implement, and maintain comprehensive automated test suites covering:
order execution flows
market data distribution
risk calculations
Build frameworks for deterministic simulation of trading scenarios and edge cases.
Performance & Stress Testing
Implement and manage stress, latency, throughput, and stability tests for:
trading cores
pricing engines
real-time message pipelines
Detect bottlenecks, resource leaks, deadlocks
Quality Engineering & Analysis
Analyze business requirements, trading/risk logic, and code to ensure full test coverage of critical flows.
Work with developers and quants to identify root causes, validate fixes, and improve system resilience.
Build tools to automate operational testing tasks and regression checks.
Automation Operations
Ensure reliability of tests in distributed environments with eventually consistent data.
Maintain and improve AI framework.
Qualifications
Essential
Extensive experience in test automation and software development (5+ years preferred).
Strong coding skills in Python.
Strong experience with AI tools and agentic approach.
Strong understanding of:
concurrent systems
distributed microservices
event-driven architectures
Experience testing systems that use:
API (REST, gRPC, GraphQL)
Message brokers (Kafka, NATS, Redis Streams)
Deep understanding of software testing principles:
functional testing, integration testing, regression testing, performance testing, non-functional requirements.Strong troubleshooting skills (profiling, metrics, logs, distributed tracing).
Strong attention to detail and ability to work independently.
Nice to Have
Understanding of the Forex trading domain, including:
order types
execution models (A-book/B-book)
market data (ticks, L2)
risk systems (margin, exposure)
Experience testing FIX protocol integrations.
Experience with:
Docker/Kubernetes
GitLab CI/CD
monitoring/observability (Grafana, Prometheus, OpenTelemetry)
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