Lead Software Engineer (Python)

Prophecy Technologies

$120K — $150K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in backend software engineering with a focus on Python.
  • Proficiency in designing scalable, high-performance backend systems.
  • Expertise in building and maintaining RESTful APIs.
  • Strong understanding of CI/CD pipelines and infrastructure automation.
  • Experience leading and mentoring engineering teams.
  • Ability to collaborate cross-functionally with various teams, including product and compliance.
  • Knowledge of system performance tuning and security best practices.

Responsibilities

  • Architect and develop scalable backend systems using Python.
  • Design and maintain robust APIs for diverse integrations.
  • Drive best practices in code quality and backend design.
  • Optimize system performance, scalability, and availability.
  • Implement security measures and ensure adherence to regulatory standards.
  • Design data pipelines for analytics and regulatory reporting.
  • Lead incident response and maintain operational excellence.

Benefits

  • Opportunities for professional development and continuous learning.
  • Collaborative and innovative team environment.
  • Engagement with cutting-edge technologies in fintech and AI.
  • Health and wellness programs to support employee well-being.
Full Job Description
Role Summary

As a Lead Software Engineer (Python) at Trivelta, you will play a pivotal role in designing, developing, and scaling the platform's core backend infrastructure. This is a hands-on technical leadership position responsible for driving innovation, ensuring system performance, and maintaining high standards of security, compliance, and reliability.

You will collaborate closely with product, security, compliance, finance, and data analytics teams to build robust, scalable solutions in a highly regulated environment.

Key Responsibilities

Backend Architecture & Development
  • Architect and develop scalable, high-performance backend systems using Python.
  • Design and maintain robust APIs supporting mobile, web, and third-party integrations.
  • Drive best practices in backend design, code quality, and system reliability.

Performance, Security & Compliance
  • Optimize system performance, scalability, and availability.
  • Implement security best practices and ensure compliance with:
  • AML, KYC
  • Data privacy regulations
  • State-by-state sweepstakes regulations
  • Partner with compliance and security teams to meet regulatory standards.

Data & Analytics Infrastructure
  • Design and maintain data pipelines supporting:
  • Analytics and reporting
  • Fraud detection
  • Geolocation-based access controls
  • Regulatory and audit reporting

Technical Leadership
  • Lead and mentor engineers, promoting best practices and continuous learning.
  • Drive architectural decisions and long-term technical strategy.
  • Evaluate emerging technologies in fintech, gaming, and AI-based fraud detection.

Cross-Functional Collaboration
  • Work closely with product, finance, compliance, and support teams to translate business needs into technical solutions.
  • Ensure seamless system integration and operational efficiency.

Operational Excellence
  • Lead incident response for production outages or security events.
  • Implement proactive monitoring and alerting.
  • Perform root cause analysis and drive long-term corrective actions.

Required Skills & Qualifications
  • Proven experience designing and scaling high-performance backend systems.
  • Strong hands-on expertise in Python for backend development, automation, and data processing.
  • Experience building and maintaining RESTful APIs.
  • Strong knowledge of CI/CD pipelines and infrastructure automation.
  • Demonstrated ability to lead, mentor, and influence technical direction.
  • Experience working cross-functionally with product, finance, and compliance teams.
  • Solid understanding of:
  • System performance tuning
  • Security best practices
  • Regulatory compliance (AML, KYC, data privacy)

Preferred Qualifications
  • Experience with data pipelines, analytics platforms, and fraud detection systems.
  • Exposure to geolocation-based access controls.
  • Background in fintech, gaming, or regulated platforms.

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