Senior Software Engineer

Job Description

#### 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.  

**About Company**