Senior Software Engineer

VORKIS; Oregon (WI); Remote; USD 48,000 - 84,000; Full time

Job summary

A global financial technology company is seeking a Senior Software Engineer to enhance a trade surveillance system. Responsibilities include designing algorithms for monitoring transactions and optimizing detection models collaboratively with experts. The candidate must have significant experience in backend development, proficiency in Java or Kotlin, and knowledge of financial/trading systems. This role offers a remote work option with a competitive salary ranging from $48,000 to $84,000 per year.

Qualifications

• 5+ years of professional experience in backend or algorithmic development.
• At least 3 years working with algorithms in financial/trading systems or related fields.
• Strong proficiency in Java, Kotlin, C#, or C++. Solid understanding of software design principles and architectural patterns.

Responsibilities

• Design and implement algorithms for real-time and batch monitoring of financial transactions.
• Collaborate with data scientists and compliance experts to optimize detection models.
• Contribute to system architecture design for high availability and low-latency performance.
• Optimize and maintain an existing codebase for clarity, performance, and scalability.
• Work with distributed systems and databases for high-volume data ingestion and processing.
• Analyze performance bottlenecks and improve system reliability.

Skills

Python

C#

Databases

JAVA

Kotlin

C/C++

Compliance Expertise

FinTech

Software Design

Statistical Modeling

Algorithms

Mathematics

Machine Learning

Debugging

Trading

Distributed Computing

SOLID

Microsoft Clarity

Monitoring

Regulatory Compliance

Data Pipelines

Distributed Systems

Trade Surveillance

Communication Skills

Reliability

Education

Bachelor’s degree in Computer Science, Mathematics, or related field

Master’s or PhD

Job description

Salary: $48,000 - $84,000 per year

Location: Remote

Employment option: Full time

Job Summary

We are looking for a Senior Software Engineer with strong algorithmic and data processing expertise to join a global team working on a complex trade surveillance system in the financial sector. The project focuses on batch and real-time analysis of trading data, leveraging advanced algorithmic models to detect fraud, manipulation, and other compliance breaches.

Skills

Must Have

• Hard skills: Beginner in: Python, C#; Competent in: Databases; Proficient in: JAVA
• Soft skills: Competent in: Communication Skills

Nice-to-have

• Hard skills: Competent in: Kotlin, RDBMS, C/C++, Compliance Expertise, FinTech, Software Design, Statistical Modeling, Algorithms, Mathematics, Machine Learning, Debugging, Trading, Distributed Computing, SOLID, Microsoft Clarity, Monitoring, Regulatory Compliance, Data Pipelines, Distributed Systems, Trade Surveillance
• Soft skills: Competent in: Reliability

Additional Requirements

5+ years of professional experience in backend or algorithmic development. At least 3 years working with algorithms in financial/trading systems or related fields. Strong proficiency in Java, Kotlin, C#, or C++. Solid understanding of software design principles and architectural patterns. Experience with real-time systems, distributed computing, and large-scale data pipelines. Proficiency with relational and non-relational databases. Excellent problem-solving and debugging skills. Strong interpersonal and communication skills. Python experience is a plus. Familiarity with statistical modeling and machine learning is an advantage. Bachelor’s degree in Computer Science, Mathematics, or related field (Master’s or PhD is a plus).

Responsibilities

• Design and implement algorithms for real-time and batch monitoring of financial transactions.
• Collaborate with data scientists and compliance experts to optimize detection models.
• Contribute to system architecture design for high availability and low-latency performance.
• Optimize and maintain an existing codebase for clarity, performance, and scalability.
• Work with distributed systems and databases for high-volume data ingestion and processing.
• Analyze performance bottlenecks and improve system reliability.