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Software Engineer Fraud Detection Jobs in Texas (NOW HIRING)

Eden Technologies Inc

Software Engineer

Lockhart, TX · On-site

$130K - $165K/yr

Support implementation of edge AI workflows for monitoring, anomaly detection, or system ... Hands-on software engineering experience with embedded systems, IoT, edge computing, control ...

Tank Payments

Senior Software Engineer

Austin, TX · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

... software engineer * Proven track record in building highly scalable, reliable systems * Strong ... Fraud Mitigation: Build real-time fraud detection and prevention mechanisms to safeguard our ...

Citizens

Senior Manager Digital, Scam & Mule Fraud

Irving, TX · On-site +1

$148K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop predictive models to monitor and mitigate emerging fraud threats, integrating real-time detection capabilities with engineering and technology teams. * Use data-driven insights to recommend ...

Citizens Bank

Senior Manager Digital, Scam & Mule Fraud

Irving, TX · On-site

$148K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop predictive models to monitor and mitigate emerging fraud threats, integrating real-time detection capabilities with engineering and technology teams. * Use data-driven insights to recommend ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

They are seeking a highly skilled software engineer proficient in C++ or Python to design, develop ... Allen Control Systems develops autonomous defense technologies designed to detect, track, and ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

They are seeking a highly skilled software engineer proficient in C++ or Python to design and ... Allen Control Systems develops autonomous defense technologies designed to detect, track, and ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

They are seeking a highly skilled robotics software engineer proficient in C++ or Python to design ... Allen Control Systems develops autonomous defense technologies designed to detect, track, and ...

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All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Texas

Software Engineer Fraud Detection information

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are the key skills and qualifications needed to thrive as a software engineer fraud detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

What are popular job titles related to Software Engineer Fraud Detection jobs in Texas?

For Software Engineer Fraud Detection jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Software Engineer Fraud Detection jobs in Texas look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Texas are:

What cities in Texas are hiring for Software Engineer Fraud Detection jobs?

Cities in Texas with the most Software Engineer Fraud Detection job openings:

Software Engineer Fraud Detection jobs near you

Software Engineer

Eden Technologies Inc

Lockhart, TX • On-site

$130K - $165K/yr

Full-time

Re-posted 19 days ago

Job description

About the Role

Eden Tech is seeking a hands-on Software Engineer to support embedded sensing, control systems, and edge AI deployment for our Reverse Osmosis Centrifuge platform. This role will work closely with mechanical, electrical, and test engineers to develop software for real-time monitoring, diagnostics, data collection, and field operation of safety-critical hardware.

The ideal candidate has experience with embedded systems, IoT or edge computing, Python, C/C++, and hardware/software integration. We are looking for someone practical, scrappy, and comfortable working in a startup environment where systems are evolving quickly.

What You Will Do

  • Develop software for embedded sensing, monitoring, diagnostics, and control of ROC systems

  • Build and maintain data pipelines for test systems, edge devices, and remote deployments

  • Support implementation of edge AI workflows for monitoring, anomaly detection, or system optimization

  • Write, test, and debug software in Python and C/C++ for embedded and system-level applications

  • Troubleshoot microcontrollers, sensors, communication interfaces, and hardware/software integration issues

  • Collaborate with mechanical and electrical engineers on controls, instrumentation, and system integration

  • Support test automation, data analysis, logging, and field diagnostics

  • Maintain software documentation, version control, test procedures, and engineering change records

  • Apply sound software engineering practices for reliability, high-availability, maintainability, and safe system operation

What We Are Looking For

  • Hands-on software engineering experience with embedded systems, IoT, edge computing, control systems, or field-deployed hardware

  • Proficiency in Python for data processing, automation, test tooling, or ML/AI workflows

  • Proficiency in C/C++ for embedded or hardware-adjacent software development

  • Hands-on experience troubleshooting microcontrollers, sensors, and hardware/software integration issues

  • Familiarity with real-time or near-real-time sensing, monitoring, control, or data acquisition systems

  • Some experience with MLOps, edge AI deployment, model pipelines, or applied machine learning workflows

  • Understanding of control systems, instrumentation, and electromechanical system integration

  • Familiarity with core software engineering practices including version control, testing, documentation, and maintainable code design

  • Comfortable working in a fast-paced startup environment with high ownership and shifting priorities

Nice to Have

  • Experience deploying AI/ML models on edge devices or embedded Linux systems

  • Experience with signal processing, anomaly detection, predictive maintenance, or time-series sensor data

  • Familiarity with industrial communication protocols such as CAN, SPI, I2C, or UART

  • Experience with cloud platforms, CI/CD, containers, or remote device data management

  • Experience with industrial equipment, aerospace, defense, oil and gas, water treatment, or other field-deployed hardware

  • Experience with, or an understanding of circuitry and the relationship between hardware and software systems

Compensation Range: $130K - $165K