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Fraud Software Engineer Jobs in Mississippi (NOW HIRING)

Fraud Software Engineer information

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

To thrive as a Fraud Software Engineer, you need strong skills in software development, data analysis, and an understanding of fraud detection methodologies, usually backed by a degree in computer science or related fields. Familiarity with programming languages (such as Python, Java, or Scala), machine learning frameworks, and fraud detection platforms is typically required, along with relevant certifications in cybersecurity or data analytics. Analytical thinking, problem-solving, and effective communication are valuable soft skills that help in identifying threats and collaborating across teams. These skills and qualities are crucial for building robust systems that proactively detect and prevent fraudulent activities, safeguarding organizational assets.

What is the difference between Fraud Software Engineer vs Fraud Analyst?

AspectFraud Software EngineerFraud Analyst
Required CredentialsBachelor's in Computer Science or related field, coding skills, knowledge of fraud detection toolsBachelor's in Finance, Business, or related field, analytical skills, understanding of fraud patterns
Work EnvironmentDevelops and maintains fraud detection software, collaborates with engineering teamsAnalyzes fraud cases, reviews data, and implements fraud prevention strategies
Employer & Industry UsageTech companies, financial institutions, e-commerce platformsBanking, credit card companies, online payment providers

While both roles focus on combating fraud, Fraud Software Engineers develop and improve the technical systems used for detection, whereas Fraud Analysts analyze data and patterns to identify and prevent fraudulent activities. Both positions are essential in the fight against fraud but require different skill sets and responsibilities.

What is a fraud software engineer?

Fraud Software Engineers are specialists who design, develop, and maintain software systems aimed at detecting and preventing fraudulent activities. They work with advanced algorithms, machine learning, and data analysis to identify suspicious patterns or transactions in real time. Their role is crucial in safeguarding financial institutions, e-commerce platforms, and other organizations from financial losses due to fraud. They also collaborate closely with security teams to continuously improve fraud detection systems and stay ahead of evolving threats.

How do fraud software engineers typically collaborate with other departments to enhance fraud detection systems?

Fraud Software Engineers work closely with data analysts, cybersecurity teams, and product managers to develop and refine fraud detection tools. They often participate in cross-functional meetings to review emerging threats and adapt algorithms accordingly. Collaboration is essential for integrating real-time data feeds, sharing insights on fraudulent patterns, and ensuring that software solutions align with regulatory and customer requirements. This collaborative approach helps ensure that detection mechanisms remain robust and adaptable in a rapidly evolving landscape.
What are popular job titles related to Fraud Software Engineer jobs in Mississippi? For Fraud Software Engineer jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Fraud Software Engineer jobs in Mississippi look for? The top searched job categories for Fraud Software Engineer jobs in Mississippi are:
What cities in Mississippi are hiring for Fraud Software Engineer jobs? Cities in Mississippi with the most Fraud Software Engineer job openings:
Infographic showing various Fraud Software Engineer job openings in Mississippi as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Onsite Support Engineer, Robotics

Locus Robotics

Southaven, MS • On-site

$50K - $90K/yr

Full-time

Posted 6 days ago


Job description

At Locus Robotics, we build AI-powered systems and intelligent robots that keep global supply chains running. Our platform combines advanced AI, real-time decision-making, and autonomous robotics to help leading companies improve efficiency, scale operations, and adapt to constant change.
Locus Robotics is a place to do meaningful work with real-world impact, where your ideas move quickly from concept to deployment. We invest in our people, encourage continuous learning, and give you the opportunity to grow your career while building technology that is used every day at global scale.
What if you could be the person who keeps cutting-edge robotics running at peak performance while becoming a trusted partner to one of our customers? As an Onsite Support Engineer, Robotics, you'll be the face of Locus Robotics at a customer site, combining hands-on technical troubleshooting, operational problem-solving, and customer relationship management to ensure our autonomous robots deliver exceptional results every day.
This role is based onsite at a customer location in Southaven, MS and requires an onsite presence Monday through Friday from 9:00 AM to 5:00 PM (local time).
Responsibilities
  • Serve as the onsite owner of the Locus robotic fleet, proactively monitoring system health, robot activity, task execution, and workflows to maximize uptime, stability, and operational performance.
  • Proactively manage and optimize workflows to ensure throughput targets and operational KPIs are achieved.
  • Perform onsite robot troubleshooting and repairs as needed to maintain system uptime and operational stability
  • Conduct onsite testing, validation, and performance analysis to support product development and continuous improvement.
  • Support product validation efforts by providing structured feedback on system performance, usability, and edge cases.
  • Compile and analyze operational data (Throughput, UPH, Lines Per Hour, utilization) to generate actionable insights and recommendations.
  • Act as a liaison between customer operations and internal teams, ensuring clear communication of issues, priorities, and opportunities.
  • Assist in developing and refining standard operating procedures, best practices, and playbooks for future deployments.

Qualifications
  • Bachelor's Degree in Engineering, Computer Science, Industrial Engineering, or related technical field.
  • 1+ years of experience in warehouse operations, robotics, automation, or technical customer-facing roles.
  • Familiarity with warehouse operations, including picking workflows, labor management, and productivity metrics.
  • Hands-on experience troubleshooting hardware or software systems, or strong technical aptitude with the ability to learn quickly.
  • Strong analytical skills with the ability to interpret data and translate insights into operational improvements.
  • Ability to operate effectively in fast-paced, ambiguous environments, particularly in early-stage product deployments.
  • Proven ability to work cross-functionally and influence without direct authority.
  • Self-motivated with a strong sense of ownership and accountability.
  • Willingness to work onsite daily at customer locations and adapt to operational schedules as needed.
  • Ability to lift, pull, and push up to 50lbs.
  • Must have the ability to frequently bend, stoop, lift, walk, and reach as part of the job requirements.
  • Excellent English communication skills, both written and verbal, with the ability to engage diverse audiences effectively.

The expected base salary range for this role is $50K to $90K annually, based on external market data, plus bonus and equity. Actual offers will depend on factors such as the candidate's experience, education, training, key or critical skills, geographic location, and current market and business conditions.
Additional Information
Locus Robotics is an equal opportunity employer.
Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.