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Software Engineer Fraud Detection Jobs in Maryland

Software Engineering Job Qualifications: Skills: Bash Scripts, CI/CD, Linux, Python (Programming ... We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding ...

Software Engineering Job Qualifications: Skills: Bash (Scripting Language), Docker (Software ... We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding ...

Software Engineer

Annapolis, MD · On-site +1

$86K - $198K/yr

Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Software Engineer

Annapolis, MD · On-site

$86K - $198K/yr

Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Software Engineering Job Qualifications: Skills: CI/CD, Linux, Python (Programming Language), Unix ... We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding ...

None Job Family: Software Engineering Job Qualifications: Skills: Ansible (Software), Bash ... We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding ...

Software Engineering Job Qualifications: Skills: Bash (Scripting Language), Linux, MongoDB, Python ... We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding ...

Showing results 21-40

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 Maryland?

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

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

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

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

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

Infographic showing various Software Engineer Fraud Detection job openings in Maryland as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

$175K - $238K/yr

Full-time

Retirement, PTO

Re-posted 4 days ago


Key responsibilities

  • Design, develop, and maintain tools and services supporting Atlassians suite of products including Jira and Confluence.

  • Work closely with cross-functional teams to deliver seamless integrations that enhance productivity and streamline workflows.

  • Create documentation of configurations, procedures, and system changes.


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 226 rated it services


Job description

Share
REQ#: RQ224235Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to serve as a critical component of our nations safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

SOFTWARE ENGINEER PRINCIPAL
Transform technology into opportunity as a Software Engineer Principal at GDIT. Shape whats next for mission-critical government projects while shaping whats next for your engineering career.
MEANINGFUL WORK AND PERSONAL IMPACT
The Software Engineer shall be responsible for designing, developing, and maintaining tools and services in support of the Atlassians suite of products including Jira and Confluence. The Software Engineer shall work closely with cross-functional teams including software developers, system administrators, project managers, and mission customers to deliver seamless integrations that enhance productivity and streamline workflows.
WHAT YOULL NEED TO SUCCEED
Bring your engineering expertise along with a drive for innovation to GDIT. The Software Engineer Principal must have:
Education: Bachelor of Science
Experience: 8+ years of related experience

Security clearance level: TS/SCI w/ Polygraph

Position Required Skills

Experience using the Linux CLI and Linux Tools
Experience writing Bash/PHP scripts to automate administrative tasks and workflows
Recent software development experience using Python and Java
Experience using an integrated development environment such as the Atlassian plugin software developer kit (SDK)
Experience with IaC principles and automation tools such as Ansible
Experience with CI/CD principles, methodologies, and tools such as GitLab CI
Experience with containerization technologies such as Docker
Experience creating documentation of configurations, procedures, and system changes
Experience with Git for source code management, branching strategies, and team collaboration

Position Desired Skills

Experience with sustaining mission applications deployed in a Linux environment
Experience with interacting/training external customers
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in software development at GDIT and youll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.

#MD_2026Alumni

#IntelligenceEngineered

#praxisjobs
Work Requirements
Years of Experience

8 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification
Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $175,950 - $238,050. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans


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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US