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Software Engineer, Credit Execution

Job in Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: The Voleon Group
Full Time position
Listed on 2025-12-10
Job specializations:
  • Software Development
    Software Engineer
Salary/Wage Range or Industry Benchmark: 300000 USD Yearly USD 300000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, Credit Execution
Location: Myrtle Point

Employer Industry: Financial Technology

Why consider this job opportunity
  • Salary range up to $300,000
  • Comprehensive benefits package including medical, dental, vision coverage, life & AD&D insurance, and a 401(k) plan with company match
  • 20 days of paid time off and 9 sick days
  • Opportunity to work alongside top machine learning researchers and experienced engineers from leading technology companies
  • Collaborative and innovative work environment that encourages experimentation and creative thinking
  • Potential to earn $15,000 through the "Friends of the Employer" Candidate Referral Program
What to Expect (Job Responsibilities)
  • Design real-time distributed trading systems that place orders across global markets and asset classes
  • Own observability and remediation tooling used to analyze trading performance and risk
  • Integrate with new assets and markets, driving clarity on resulting requirements
  • Improve the resilience and performance of trading systems
  • Lead complex projects, collaborating across various teams to deliver end-to-end trading systems
What is Required (Qualifications)
  • Computer Science Degree or equivalent experience
  • 7+ years of software engineering experience building high-performance systems
  • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python and Go
  • Excellent communication and project management skills in complex technical domains
  • Proven track record mentoring engineers and leading technical direction
How to Stand Out (Preferred Qualifications)
  • Expertise in building and optimizing data pipelines
  • Experience with profiling and performance optimizations on highly available systems
  • Experience designing disaster recovery-aware robust software solutions
  • Exposure to modern Python data science tooling
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