to help power the core infrastructure of a high-performance trading platform. You'll play a pivotal role in designing, implementing, and optimizing real-time systems that form the backbone of the order management engine. This position is ideal for engineers who thrive in performance-critical environments and want to work at the intersection of finance and cutting-edge technology.
Key Responsibilities
Develop and maintain the core
order management system
, ensuring robust handling of the full order lifecycle.
Monitor and optimize system uptime and responsiveness -- target
99.9%+ availability
.
Design and implement backend services, including
real-time data pipelines
,
websocket-based communication
,
asynchronous job queues
, and
pub-sub architectures
.
Collaborate closely with the product and trading teams to introduce new features and support expansion into new asset classes.
Participate in the development of
core trading strategies
, particularly those interacting with retail order flow.
Optimize system scalability and
database performance
to handle increasing data volume and low-latency needs.
Use observability tools and analytics to monitor system health and implement data-driven performance improvements.
Communicate clearly and regularly with stakeholders, including Chinese-speaking team members and business partners.
Key Qualifications
3+ years of experience
as a backend software engineer or full-stack engineer with strong backend expertise.
Degree in
Computer Science
, Software Engineering, or a related field.
Proven experience working in a
trading firm
or similar environment with exposure to exchange integrations or trading infrastructure.
Strong experience in
Golang
; candidates with a background in
Rust
,
Python
, or
C++
will also be considered if they demonstrate readiness to work in Golang.
Demonstrated experience building
high-throughput
,
real-time systems
with stringent uptime requirements.
Familiarity with
async processing
,
batch jobs
,
queueing systems
,
pub-sub messaging
, and
websockets
.
Proficient in
AWS cloud infrastructure
, including
Terraform
,
Docker
, and
CI/CD pipeline configuration
.
Product-oriented mindset -- able to approach problems from a
solutions-first
and
business-first
perspective.
Prior exposure to
financial markets
,
quant research
,
brokerage platforms
, or
crypto exchanges
is a strong plus.
Must be comfortable working closely with
Chinese-speaking stakeholders
; Mandarin proficiency is preferred.
What We Offer
Competitive compensation
Flexible remote work environment
Opportunity to work on cutting-edge trading systems
Collaborative team culture focused on innovation and performance
* Exposure to multi-asset class trading and financial technology at scale
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