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Software Engineer Fraud Detection Jobs in Georgia

Software Engineer I Job Code SEI.401.002 FLSA Status Exempt Job Family Data Management Cost Center ... for early detection of integration issues in containerized services. * Write unit tests and ...

University, Data Engineer

Atlanta, GA ยท On-site

$48K - $98K/yr

... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ... Ability to create software for retrieving, parsing, and processing structured and unstructured data

University, Data Engineer

Atlanta, GA ยท On-site

$48 - $98/hr

... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ... Ability to create software for retrieving, parsing, and processing structured and unstructured data

New

Software Engineer

Alpharetta, GA ยท On-site

$116 - $162/hr

Job Overview Developer IV leads technical modernization efforts across Wheels' application ... detection, and decision support. Champion replacement of point-to-point integrations with ...

Worth is looking for a Senior Software Engineer to join our Integrations Squad and own the systems ... Build and maintain integrations with third-party data providers (KYB, KYC/IDV, AML, fraud, banking ...

Job Overview The Developer IV leads technical modernization efforts across Wheels' application ... detection, and decision support. * Champion replacement of point-to-point integrations with ...

Sr Software Engineer

Norcross, GA ยท On-site

$114K - $151K/yr

Establish baselines and track trends across releases to detect regressions early and inform ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

... fraud detection product. \n \n \n \n \n \n We need Fullstack Engineers who are skilled on both the backend and UI, however this role will be much heavier on the server side. \n \n \n \n \n \n You'll ...

Sr Software Engineer

Norcross, GA ยท On-site

$114K - $151K/yr

Establish baselines and track trends across releases to detect regressions early and inform ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

Software Engineer III

Alpharetta, GA ยท On-site

$78K - $131K/yr

... Fraud and Credit Risk Mitigation, Customer Data Management and Life Insurance Learn more at: About ... for a Software Engineer to join our Operations Engineering team, supporting a suite of internal ...

Software Engineer III

Alpharetta, GA ยท Hybrid

$78K - $131K/yr

... Fraud and Credit Risk Mitigation, Customer Data Management and Life Insurance Learn more at: About ... for a Software Engineer to join our Operations Engineering team, supporting a suite of internal ...

Software Engineer III

Alpharetta, GA ยท On-site

$78K - $131K/yr

... Fraud and Credit Risk Mitigation, Customer Data Management and Life Insurance Learn more at: About ... for a Software Engineer to join our Operations Engineering team, supporting a suite of internal ...

Showing results 41-60

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:

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.

Software Engineer I

ssi

Brunswick, GA โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Software Engineer I

ย 

Job Code
SEI.401.002

FLSA Status
Exempt

Job Family
Data Management

Cost Center
401

Purpose of Position

As aย Software Engineer I, you will participate in the complete software development lifecycleโ€”from design and architecture to system integration, usability, and delivery. You will play a dual role: maintaining critical legacy systems while actively contributing toย a modern Lakehouse Platform. Youโ€™ll collaborate closely with fellow engineers, product owners, and management to deliver high-quality, scalable SaaS solutions in a fast-paced, agile environment.ย 

This role emphasizes hands-on development, performance tuning, testing, and production support. A key focus is adopting a "moving left" philosophy by utilizing local Kubernetes environments for early validation of containerized services before deployment. You will adhere to best practices in security, privacy, and compliance, specifically within the context ofย aย private cloud-based environment.ย 

Duties and Responsibilities

Essential Functions

  • Design, develop, test, and deliver new features and software applications.ย 
  • Create and maintain technical documentation, including architectural designs and improvement proposals.ย 
  • Analyze and tune application performance; proactively identify and address scalability and reliability risks.ย 
  • Conduct code reviews and contribute to maintaining high-quality standards across the codebase.ย 
  • Support release management to ensure smooth deployment and maintenance of production systems.ย 
  • Investigate, debug, and resolve escalated production issues.ย 
  • "Moving Left" Development: Implement a "moving left" development strategy by setting up local development environments usingย Kubernetes that mirror production infrastructure, allowing for early detection of integration issues in containerized services.ย 
  • Write unit tests and contribute to automated testing strategies.ย 
  • Design and implement logging, error-handling patterns, and performance monitoring dashboards.ย 
  • Identify and optimize slow-performing SQL queries and system bottlenecks.ย 
  • Participate in backlog grooming, sprint planning, and status updates to keep stakeholders informed.ย 
  • Ensure compliance with corporate policies and federal regulations related to security, privacy, accessibility, and ethical AI use.ย 

Additional Duties

  • Support QA and client services teams as needed.
  • Assists other team members and other development teams as needed.ย 
  • Perform additional responsibilities as assigned.

Skills, Knowledge, and Abilities

  • Databases & Data Structures:ย 
    • SQL Server 2022+, SSMS, T-SQLย 
    • Lakehouse: Apache Iceberg, Apache Parquet,ย OpenMetadata.,ย Clickhouseย 
  • ย Programming & Frameworks:ย 
    • C# with ASP.NET (MVC, Web Forms,ย WebAPI)ย 
    • React, Node.js, AngularJS, JavaScript, TypeScript, jQuery, HTMLย 
    • RESTful Web Servicesย 
    • Entity Framework, ADO.NETย 
    • Pythonย 
    • Apache Airflow,ย Spark,ย Debeziumย 
  • Development Tools & Environments:ย 
    • Microsoft Visual Studio 2022+, Visual Studio Code,ย DBeaverย 
    • Version Control: Azure DevOps, Gitย 
    • Build/Release: Microsoft Release Management, Docker,ย ArgoCD, Artifactory, Helmย 
    • Redis,ย Valkey,ย RabbitMQ,ย Kafkaย ย 
    • AI Developer Tools: Copilot, Continueย ย 
  • Other Technologies:ย 
    • Telerik & Kendo UI, Bootstrap, Microsoft Office,ย Power BIย 
    • Cloud Environments: Azure, AWS, Private Cloudย 
  • ย Design & Architecture:ย 
    • Object-Oriented Analysis & Design (OOA/OOD), Design Patternsย 
    • Experience designing scalable, enterprise-grade solutionsย 
  • Soft Skills & Attributesย 
    • Strong analytical, troubleshooting, and problem-solving skillsย 
    • Ability to manage multiple tasks and meet deadlines under pressureย 
    • Effective communicator with the ability to explain complex technical issuesย 
    • Proactive contributor and effective team playerย 
    • Detail-oriented and self-motivated with a commitment to excellenceย 
    • Capable of independent decision-making and task ownershipย 
    • Must be able to see clearly with or without corrective lenses and hear clearly with or without aids.ย 
    • Must be able to use hands, fingers and wrists, repetitively, using a computer keyboard and other office equipment, regularly.ย 
    • Must be able to proficiently speak, read and write in English.ย 
    • Willing to travel occasionally as required.

Information Security and Data Protection

The SSI Security-First Mindset

Information security and data protection is a shared responsibility โ€“ codified in our commitment to the SSI Security-First Mindset. The SSI Security-First Mindset is comprised of five pillars and universally applicable to all employees, regardless of position description, assigned duties and responsibilities.

The Five Pillars of the SSI Security-First Mindset:

  • Pillar 1: Governance: Develop, implement, and enforce secure operational processes, procedures, and routines.
  • Pillar 2: Accountability: Take an active role in protecting company assets and system & data resources.
  • Pillar 3: Awareness: Recognize, report, and take action to resolve security risks.
  • Pillar 4: Preparedness: Develop, implement, test, and improve backup plans for operational processes, procedures, and routines.
  • Pillar 5: Collaboration: Communicate, share, and promote your Security-First Mindset at every opportunity.

Experience and Education Requirements

Education

Min/Preferred

Education Level

Description

Minimum

4 Year / Bachelors Degree

Bachelors Degree in Computer Science or relevant industry experience.

Preferred

Graduate Degree

Masterโ€™s degree in Computer Science or relevant industry experience.

Years of Experience

Minimum Years of Experience

Comments

0-1

Previous experience as a Software Engineer preferred, but not required.

0

Knowledge of healthcare revenue cycle and electronic claims processing a plus.

Certifications

Min/Preferred

Certification

Description

A combination of experience and advanced education may be substituted. Background checks and drug test required.

Acknowledgement

I have read and understand this job description and agree that I am able to fulfill the essential functions as stated above. I further understand that it is my responsibility to request an accommodation, if necessary, to fulfill the essential functions of this position.

Employee's Signature

Date

__________________________________

______________________

Supervisor Signature

Date

__________________________________

______________________