Senior Software Engineer

VORKIS; Town of Texas (WI); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading financial technology firm is seeking a Senior Software Engineer specialized in algorithmic and data processing expertise. You will engage in designing and implementing algorithms for monitoring transactions while collaborating closely with analysts and engineers. The role requires over 5 years of experience in backend development, ideally in financial systems, with proficiency in Java, Kotlin, or C++. This position offers an exciting opportunity to work on a cutting-edge surveillance platform in a dynamic and diverse international team.

Qualifications

• 5+ years of professional experience in backend or algorithmic development.
• At least 3 years working with algorithms in financial or trading systems.
• 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.

Skills

Backend or algorithmic development

Java

Kotlin

C#

C++

Problem-solving and debugging

Interpersonal and communication skills

Education

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

Job description

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.

You will work alongside quantitative analysts, compliance specialists, and other engineers to build, maintain, and scale a high-throughput, low-latency system for global markets.

Key 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 for financial transactions
• 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

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)

About the project:

You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions.

This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.