BTSE

1 month ago

(Sr.) Java Engineer, Matching Engine Team

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Join a fintech innovator to design, optimize, and maintain a high-performance Java-based matching engine and real-time data systems. Lead development of low-latency order processing, WebSocket streaming, and scalable data structures within a collaborative team context. Hands-on with Java, Spring frameworks, and modern tooling to deliver robust trading infrastructure.

Location: Taipei

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Collaborate with team members on designing, developing, and unit-testing new features and modifications.
•Design, optimize, and maintain the core matching engine, order book management, and transaction clearing components.
•Design data structures and utilize appropriate design patterns to model and implement business logic.
•Design and implement real-time, low-latency data streaming services using WebSockets or related protocols.
•Document source code and generate readable API documentations.

Pay and Benefits

Perks:Health Insurance

Key Requirements

•Degree in CS or equivalent field.
•At least 5 years+ of professional experience in Java development.
•Solid understanding of trading/matching engine mechanics (e.g., Price-Time Priority, order lifecycle, order book management).
•Must be proficient in Java; nice to have: JavaScript, Python, or Golang.
•Proficient in mainstream Java application frameworks (e.g., Spring, Spring Boot, Jersey).

Experience:5+ yearsFintechCryptoBlockchainWeb3Trading

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkIndependent contributorFast-paced

Tech Stack:JavaSpringSpring BootJerseyWebSocketGitJenkinsMavenSQLRelational databases

Company Brief

BTSE

BTSE operates a cryptocurrency exchange and digital asset trading platform offering spot, futures, margin trading, and institutional custody solutions, focused on liquidity, security, and a broad range of crypto and fiat trading pairs for retail and institutional clients.

Industry: Trading Platforms

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Founded: 2018

Website LinkedIn

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BTSE

1 month ago

(Sr.) Java Engineer, Matching Engine Team

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Taipei

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Collaborate with team members on designing, developing, and unit-testing new features and modifications.
•Design, optimize, and maintain the core matching engine, order book management, and transaction clearing components.
•Design data structures and utilize appropriate design patterns to model and implement business logic.
•Design and implement real-time, low-latency data streaming services using WebSockets or related protocols.
•Document source code and generate readable API documentations.

Pay and Benefits

Perks:Health Insurance

Key Requirements

•Degree in CS or equivalent field.
•At least 5 years+ of professional experience in Java development.
•Solid understanding of trading/matching engine mechanics (e.g., Price-Time Priority, order lifecycle, order book management).
•Must be proficient in Java; nice to have: JavaScript, Python, or Golang.
•Proficient in mainstream Java application frameworks (e.g., Spring, Spring Boot, Jersey).

Experience:5+ yearsFintechCryptoBlockchainWeb3Trading

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkIndependent contributorFast-paced

Tech Stack:JavaSpringSpring BootJerseyWebSocketGitJenkinsMavenSQLRelational databases

Company Brief

BTSE

Industry: Trading Platforms

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Founded: 2018

Website LinkedIn