Senior Software Engineer

Senior Software Engineer - VORKIS knows what employer wants | Career Page

Senior Software Engineer

, Oregon, United States

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Job Openings Senior Software Engineer

About the job Senior Software Engineer

Salary

$48,000 - $84,000 per year

Location

, Remote

Employment option

Job type

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

Job Description

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.

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