Backend SDET

job summary:

Design, develop, and optimize KDB+ databases and q analytics for high?volume trading and market data

Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation

Apply machine learning techniques to time?series data (feature engineering, model training, evaluation)

Build research and backtesting frameworks integrating AI models with historical data

Translate quantitative and ML research into robust, production-ready systems

Integrate AI models into real-time and batch pipelines

Optimize analytics and model evaluation for performance, stability, and scalability

Collaborate with quants, product owners, and engineering teams on model deployment and monitoring

location: Westlake, Texas job type: Contract salary: $79 - 80 per hour work hours: 8am to 5pm education: Bachelors

responsibilities:

• Design, develop, and optimize KDB+ databases and q analytics for high?volume trading and market data
• Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
• Apply machine learning techniques to time?series data (feature engineering, model training, evaluation)
• Build research and backtesting frameworks integrating AI models with historical data
• Translate quantitative and ML research into robust, production-ready systems
• Integrate AI models into real-time and batch pipelines
• Optimize analytics and model evaluation for performance, stability, and scalability
• Collaborate with quants, product owners, and engineering teams on model deployment and monitoring

qualifications:

Experienced in Serenity Cucumber Framework, Selenium, Playwright or Cypress

Experienced in Core Java and Java technologies

Background in KDB+ or other time-series databases / vector databases

Familiar with Linux environments and Unix shell scripting

Experience with Capital Markets or Brokerage systems, especially order management

Solid understanding of the FIX protocol and FIX engines

Familiarity with AI developer assist tools (e.g. GitHub Copilot)

Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy

Ability to understand sophisticated, end-to-end systems and identify performance, scalability, or resilience bottlenecks

skills:

trading systems,Maven,Artifactory,AI,CI/CD,Cucumber,Cypress,databases,feature engineering,FIX protocol,GitHub Copilot,GitHub,uDeploy,Core Java,Java technologies,Jenkins,KDB+,Linux environments,machine learning techniques,AI models,ML research,model evaluation,Playwright,Python-based,Selenium,Unix shell scripting,resilient,resilience,high-performance,Brokerage,Capital Markets,design and development,trading infrastructure,prediction,innovation,market data,mentor,model training,order management,quantitative models,scalability,technical leadership,time-series,trading,vector databases

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.