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Open nowFirst seen 5 days ago

Senior Software Engineer

VORKIS knows what employer wants92 open roles

Pay
$48,000 – $84,000 a year
Where
Oregon, United States
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Your applicationOpen nowSenior Software EngineerVORKIS knows what employer wants · Oregon, United States

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

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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