Staff Software Engineer, Risk

About the role

Collaborate with the senior technical team to develop and enhance the company’s payment products and transaction systems using Java/Kotlin.

Independently design and develop components on the company’s microservice framework.

Experiment with new technologies and propose architectural improvements.

Support and mentor less-experienced team members in software engineering practices and coding standards.

Responsibilities

• Collaborate with the senior technical team to develop and enhance the company’s payment products and transaction systems using Java/Kotlin.
• Independently design and develop components on the company’s microservice framework.
• Experiment with new technologies and propose architectural improvements.
• Support and mentor less-experienced team members in software engineering practices and coding standards.

Requirements

• More than 8 years of Core Java development, more than 5 years of experience in Internet application / large financial system / e-commerce platform development;
• More than three years experience in risk platform or payment platform development;
• Bachelor degree in computer science and related majors;
• Proficient in Java, familiar with Java multi-threading, high concurrency, IO / NIO, network communication, etc .;
• Familiar with commonly used design patterns, with experience in design and development of large-scale distributed, high concurrency, high load, high availability systems;
• Master various common server technologies, which can optimize service response and data query, ensure various service quality, and solve the problems of high concurrency and high availability;
• Familiar with Spring / Spring Boot and RESTful services;
• Master Gradle / Maven and other build tools;
• Familiar with JSON & XML.

Qualifications

• In-depth knowledge of risk management strategies and fraud detection techniques, particularly within financial and fintech industries.
• Familiarity with graph databases and the ability to utilize them for pattern and anomaly detection.
• Experience with machine learning models and frameworks for predictive risk analytics.
• Familiarity with real-time data streaming technologies like Apache Kafka/Flink to ensure timely detection and response to potential threats.
• Strong data analytics skills, with experience using tools like ClickHouse, Spark, or NoSQL databases for large-scale data processing and risk analysis.
• Advanced problem-solving skills with prior experience in incident response and risk mitigation planning.
• Strong team player with effective communication skills.

Skills

• In-depth knowledge of risk management strategies and fraud detection techniques, particularly within financial and fintech industries.
• Familiarity with graph databases and the ability to utilize them for pattern and anomaly detection.
• Experience with machine learning models and frameworks for predictive risk analytics.
• Familiarity with real-time data streaming technologies like Apache Kafka/Flink to ensure timely detection and response to potential threats.
• Strong data analytics skills, with experience using tools like ClickHouse, Spark, or NoSQL databases for large-scale data processing and risk analysis.
• Advanced problem-solving skills with prior experience in incident response and risk mitigation planning.
• Strong team player with effective communication skills.

Pay

$200 - $330

Schedule

Based in Seattle