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Open nowFirst seen 4 days ago

Senior Software Engineer

VORKIS knows what employer wants92 open roles

Where
Texas, United States, Remote
Work mode
Remote
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Your applicationOpen nowSenior Software EngineerVORKIS knows what employer wants · Texas, United States, Remote

  1. YouYes, apply to this one.

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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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 4 days ago

The posting

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 modelsfinancial 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.

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