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Software Engineer Fraud Detection Jobs in Utah (NOW HIRING)

LVT

Sensor Integration Engineer II

American Fork, UT

$93K - $125K/yr

Product & Software Excellence: We were named one of The Software Report's Top 100 Software ... You'll lead qualification across diverse sensor types--PTZ cameras, radar, thermal detection, and ...

LVT

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

Product & Software Excellence: We were named one of The Software Report's Top 100 Software ... You'll lead qualification across diverse sensor types-PTZ cameras, radar, thermal detection, and ...

Ring Inc

Senior Director, Software Engineering

Lehi, UT · On-site

$241 - $303/hr

... conversion, and fraud/delinquency risk metrics * Drive CI/CD, observability, and deployment ... the software development lifecycle to improve engineering throughput * Background scaling a ...

Posted today

Amh

DevSecOps Engineer

Draper, UT

... and threat detection and ensures consistent security standards across DevOps and software ... engineering tools. Contributes to foundational security operations which includes vulnerability ...

American Homes 4 Rent

DevSecOps Engineer

Draper, UT · On-site

... and threat detection and ensures consistent security standards across DevOps and software ... engineering tools. Contributes to foundational security operations which includes vulnerability ...

GoodLeap

Senior Director, Software Engineering

Lehi, UT · On-site

... fraud/delinquency risk metrics Process & Platform Maturity * Drive CI/CD, observability, and ... the software development lifecycle to improve engineering throughput * Background scaling a ...

New

GoodLeap

Senior Director, Software Engineering

Lehi, UT

$240K - $303K/yr

... fraud/delinquency risk metrics Process & Platform Maturity * Drive CI/CD, observability, and ... the software development lifecycle to improve engineering throughput * Background scaling a ...

New

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Add data quality checks (tests, constraints, anomaly detection, reconciliation checks) and fix root ... This position requires direct or indirect access to hardware, software, technology or technical ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

Job Summary The Senior Staff Software Engineer - Agentic AI will design and deliver core agent ... detection, and decisioning. The role includes implementing deterministic paths where needed ...

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Tanner is the global leader in software and services that improve workplace culture through ... Implemented AI safety and evaluation pipelines covering bias detection, PII leakage, faithfulness ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Tanner is the global leader in software and services that improve workplace culture through ... Implemented AI safety and evaluation pipelines covering bias detection, PII leakage, faithfulness ...

401GO

QA Engineer

Sandy, UT · On-site +1

Work with business stakeholders, product specialists, and software engineers to understand business ... detection. * Collaborate with the QA manager and other stakeholders to implement and improve QA ...

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All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Utah

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 Utah? For Software Engineer Fraud Detection jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Utah look for? The top searched job categories for Software Engineer Fraud Detection jobs in Utah are:
What cities in Utah are hiring for Software Engineer Fraud Detection jobs? Cities in Utah with the most Software Engineer Fraud Detection job openings:
Software Engineer Fraud Detection jobs near you

Sensor Integration Engineer II

LVT

American Fork, UT

$93K - $125K/yr

Full-time

Posted 4 days ago

Job description

ABOUT LVT

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.

We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it.

  • A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
  • Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
  • Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.

ABOUT THIS ROLE

As a Sensor Integration Engineer II, you'll own the setup, configuration, testing, and validation of the advanced camera and sensor systems at the heart of LVT's hardware portfolio. You'll lead qualification across diverse sensor types—PTZ cameras, radar, thermal detection, and field-of-view analysis—building the test plans and QA processes that guarantee every unit performs in the field. Your work directly shapes product reliability for customers and defines how LVT scales sensor validation across manufacturing and deployment.

LVT is a flexible-first company, but this is an in-office role based in our American Fork, Utah facility, where you'll collaborate hands-on with Hardware Engineering, Product Engineering, and Quality teams.

ROLE RESPONSIBILITIES

  • Own the end-to-end setup, configuration, and integration of camera and sensor systems—including PTZ, thermal, and radar—across LVT's hardware platforms.
  • Lead hands-on testing and qualification of sensors to ensure performance standards hold across operational conditions, troubleshooting failures and documenting root causes.
  • Build and execute structured QA processes, including comprehensive test plans and detailed test cases that scale across products and firmware revisions.
  • Validate camera performance in real-world conditions—field of view, image quality, detection range, and night performance—and translate findings into actionable engineering feedback.
  • Mentor junior technicians on camera configuration, testing methodology, and technical problem-solving.
  • Collaborate with cross-functional teams (Engineering, PQE, Operations) to move products through development and into production, managing integration timelines and resolving sensor-level blockers.
  • Drive continuous improvement initiatives, including test automation opportunities, validation tooling, and refinement of qualification standards.
  • Maintain sensor configuration databases, test records, and validation archives that support long-term product evolution and institutional knowledge.

OUR IDEAL CANDIDATE

  • Camera Setup & Integration: Deep hands-on experience setting up, configuring, and commissioning IP camera systems—ideally as an integrator deploying and tuning cameras on customer sites.
  • QA Testing Background: Proven experience within quality assurance processes—building test plans, writing test cases, executing structured test cycles, and documenting results.
  • Sensor Systems Depth: Working knowledge of physical security sensor technologies—PTZ, thermal, radar—and the network, firmware, and configuration layers that make them perform.
  • Troubleshooting & Root Cause: Strong system-level troubleshooting instincts across hardware, firmware, and network layers, with a disciplined approach to isolating and documenting failures.
  • Documentation & Process Ownership: Meticulous attention to detail and a track record of creating clear, usable test procedures, configuration guides, and validation documentation that scale across teams.
  • Technical Leadership: Ability to mentor teammates, establish best practices, and drive adoption of standardized testing and configuration processes.
  • Problem-Solving Mindset: Comfort working through ambiguity, prototyping novel validation approaches, and iterating rapidly when field conditions don't match the lab.
  • Education & Experience: Bachelor's degree in a technical field, or 5+ years of hands-on experience in security system integration, camera commissioning, or hardware QA with equivalent technical depth.

BENEFITS

We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.

LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.