ZipRecruiter

Log In

1

Software Engineer Fraud Detection Jobs in Georgia

Walaris

Perception Software Engineer

Atlanta, GA · On-site

Your Mission As a Perception Engineer with a focus on embedded perception systems, you will play a critical role in delivering a real-time detect, classify, and track software platform currently ...

StackandCo

\n \n \n \n \n The team in Dublin are continuing to build out an award winning and globally recognised fraud detection product. \n \n \n \n \n \n We need Fullstack Engineers who are skilled on both ...

ACI Worldwide

Sr Software Engineer

Norcross, GA · On-site

$114K - $151K/yr

As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

ACI Worldwide

Sr Software Engineer

Norcross, GA · On-site

$114K - $151K/yr

As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

ACI Worldwide

Sr Software Engineer

Norcross, GA · Hybrid

$114K - $151K/yr

As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

ACI Worldwide

Sr Software Engineer

Norcross, GA · Hybrid

$114K - $151K/yr

As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

OneTrust

Software Engineer

Atlanta, GA · On-site

The Challenge We're looking for a Senior Software Engineer that will report to the Development ... Apply machine learning techniques for anomaly detection, capacity prediction, or failure pattern ...

Cisco

Senior Software Engineer (Remote)

Atlanta, GA · Remote

$117K - $155K/yr

... detection, or security workflow automation. * Familiarity with LLMs, AI agents, embeddings, or ... software engineering roadmaps and capabilities across products. Why Cisco? At Cisco, we're ...

Worth AI

Solutions Engineer (Senior)

Atlanta, GA · Remote

$53.25 - $68.50/hr

Stay current on FinTech, RegTech, and AI trends particularly in KYB/KYC, AML, fraud detection, and ... growth software environment experience is a strong plus. * Hands-on technical skills in SQL ...

OneTrust

Software Engineer

Atlanta, GA · On-site

$116K - $174K/yr

Apply machine learning techniques for anomaly detection, capacity prediction, or failure pattern ... Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our ...

OneTrust

Software Engineer

Atlanta, GA

$116K - $174K/yr

Apply machine learning techniques for anomaly detection, capacity prediction, or failure pattern ... Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our ...

previous pagenext page

Showing results 21-40

All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Georgia

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.

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 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.

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 popular job titles related to Software Engineer Fraud Detection jobs in Georgia?

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

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

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

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

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

Software Engineer Fraud Detection jobs near you
Infographic showing various Software Engineer Fraud Detection job openings in Georgia as of August 2026, with employment types broken down into 9% Internship, 73% Full Time, 9% Part Time, and 9% Nights. Highlights an 64% In-person, 9% Hybrid, and 27% Remote job distribution.

Perception Software Engineer

Walaris

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Walaris designs and develops AI-driven, software-defined, and hardware-enabled autonomous systems for defense and security applications. Our software platform uses artificial intelligence, sensor fusion, and edge computing to provide real-time situational awareness for air, land, and sea domains, enabling rapid decisions at machine speed. Our cutting-edge technology is utilized by customers across the defense, national security, government, marine, and critical infrastructure protection markets worldwide.

Software engineers at Walaris are at the core of our company, tackling complex and mission-critical technical challenges with the latest technologies. They build/integrate real-time machine learning and image processing systems with advanced hardware and are constantly designing innovative software solutions. Working in cross-functional, international teams, our engineers consistently strive to exceed customer expectations.

For our office in Atlanta, we are looking for a Perception/Computer Vision Engineer starting as soon as possible.

Your Mission

As a Perception Engineer with a focus on embedded perception systems, you will play a critical role in delivering a real-time detect, classify, and track software platform currently protecting military bases, borders, government facilities, critical infrastructure and major public venues across the globe. You will work directly with camera data pipelines and embedded compute platforms to build robust, efficient, and scalable perception functionality.

You will contribute as a highly skilled individual contributor, and your work will be essential to ensuring that our CUAS systems operate reliably in real-world, resource-constrained environments.

Responsibilities
  • Full Lifecycle Ownership. Work through software design and architecture, all the way through deployment and live field trials. You will help maintain a constant feedback loop from implementation to test and evaluation to improve our product performance.
  • Counter-UAS Perception Adaptation. Tailor our perception stack to overcome environmental noise, clutter, rain, and low-contrast target profiles.
  • Hardware Integration. Integrate computer vision pipelines onto edge hardware for real-time inference and offboard control.
  • Algorithm Development. Code and optimize advanced algorithms for object detection, classification, tracking, target guidance, and target re-identification.
  • Multi-Sensor Correlation: Align camera-based perception outputs with ADSB, radar, and RF inputs.

Requirements

  • Bachelor's or Master's degree in Robotics, Computer Science, Computer Engineering, or a related field
  • Minimum of 4+ years of experience working as a Computer Vision generalist or perception engineer
  • Advanced proficiency in Python, as well as proficiency in C++ or Rust
  • Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices
  • Demonstrated experience in object tracking, target detection or image processing
  • Capable of working in a fast-paced, high-trust environment under a responsible engineer framework
  • Deep knowledge of camera systems working principles
Export Control Requirements

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Benefits

Walaris is a rapidly growing company building complex software systems for defense, national security, government, and critical infrastructure customers worldwide. We offer

  • Competitive starting salary
  • Unlimited PTO
  • Health benefits usable for medical, dental, and vision insurance
  • 401K
  • Paid parental leave

Apply