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Software Engineer Fraud Detection Jobs in Portland, ME

Carrier Voice Engineer

Brunswick, ME · On-site

$75K - $95K/yr

Support and troubleshoot software applications used for voice provisioning, fraud management, CDR ... Experience with AI/ML, automation, scripting, or analytics used for fraud detection, anomaly ...

... making at detection points all along the food and feed supply chain. The Software Engineer is ... responsible for the development and maintenance of QuickScan software, including the addition of ...

Quality Engineer I

Scarborough, ME · On-site

$73K - $94K/yr

Internet software; Inventory software; Manufacturing software; Project Management software ... MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance * 401(k) Abbott is a global healthcare ...

Quality Engineer I

Scarborough, ME · On-site

$73K - $94K/yr

Internet software; Inventory software; Spreadsheet software and Word Processing software. • ... MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance * 401(k) Abbott is a global healthcare ...

SRE Architect, AI-Powered Reliability

Portland, ME · On-site

$58.25 - $77.50/hr

... E agents across the software lifecycle-from design and development through deployment and ... Use AI-powered tooling to move beyond static dashboards: deploy intelligent anomaly detection ...

... E agents across the software lifecycle-from design and development through deployment and ... Use AI-powered tooling to move beyond static dashboards: deploy intelligent anomaly detection ...

SRE Architect, AI-Powered Reliability

Portland, ME · On-site

$58.25 - $77.50/hr

... E agents across the software lifecycle-from design and development through deployment and ... Use AI-powered tooling to move beyond static dashboards: deploy intelligent anomaly detection ...

Clash Detection:Identifying and resolving spatial conflicts or clashes between different building ... Working closely with VDC project managers, engineers, supers and construction PMs to ensure ...

Manager Advanced Analytics

Scarborough, ME · On-site

$108.88 - $187.80/hr

... out of stock detection among others. * Serve as the expert on advanced analytics tools and ... Extensive hands‑on experience using statistical programming software and languages such as SAS ...

New

Software Engineer Fraud Detection information

See Portland, ME salary details

$24.6K

$107.3K

$193.4K

How much do software engineer fraud detection jobs pay per year?

As of Aug 8, 2026, the average yearly pay for software engineer fraud detection in Portland, ME is $107,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $122,800.00 per year, depending on experience, location, and employer.

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 Portland, ME? For Software Engineer Fraud Detection jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Portland, ME look for? The top searched job categories for Software Engineer Fraud Detection jobs in Portland, ME are:
Infographic showing various Software Engineer Fraud Detection job openings in Portland, ME as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $107,287 per year, or $51.6 per hour.

Carrier Voice Engineer

FirstLight

Brunswick, ME • On-site

$75K - $95K/yr

Full-time

Re-posted 23 days ago


FirstLight Fiber rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 97 rated telecommunications companies


Job description

We are seeking an experienced Carrier Voice Engineer to secure, support, and optimize carrier-grade voice services across wireline, wireless, wholesale, enterprise, and interconnect environments. This role requires deep expertise in VoIP, SIP, TDM, SBC platforms, voice security, fraud mitigation, AI-enabled analytics, software systems, databases, and Tier III operational support.

The ideal candidate has hands-on experience with large-scale telecom voice platforms, SIP trunking, SS7/SIGTRAN, DDoS protection, security monitoring, data analysis, and automation within a highly available carrier network.

Key Responsibilities


  • Design, implement, and maintain security controls for carrier-grade voice platforms, including SIP infrastructure, SBCs, softswitches, media gateways, and interconnect gateways.
  • Configure, harden, and troubleshoot Session Border Controllers supporting carrier interconnects, SIP trunks, wholesale, enterprise, and customer-facing voice services.
  • Protect voice infrastructure against SIP-based attacks, toll fraud, robocalling abuse, traffic pumping, caller ID spoofing, DDoS events, and abnormal call routing behavior.
  • Monitor voice networks for security events, service-impacting issues, fraud indicators, and anomalous traffic patterns using logs, telemetry, SIEM tools, and operational dashboards.
  • Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat identification, incident response, and operational efficiency.
  • Analyze telecom data from CDRs, SIP logs, SBC telemetry, routing systems, firewalls, DNS, SIEM platforms, fraud systems, and operational databases.
  • Support and troubleshoot software applications used for voice provisioning, fraud management, CDR processing, reporting, monitoring, service assurance, and network operations.
  • Query and analyze relational or analytics databases to support troubleshooting, reporting, fraud investigations, and security analysis.
  • Provide Tier III support for voice security incidents, SIP/SBC issues, fraud events, DDoS attacks, and complex service-impacting problems.
  • Support secure migration and ongoing protection of legacy and hybrid voice environments, including TDM, SS7, SIGTRAN, PSTN gateways, and IP-based voice platforms.
  • Maintain high availability and resiliency through secure design, geographic redundancy, failover validation, disaster recovery planning, and capacity management.
  • Maintain documentation, standards, diagrams, playbooks, and procedures; support audits, risk reviews, regulatory requirements, and security governance activities.


Required Qualifications


  • 7+ years of experience in telecom network engineering, voice engineering, network security, or carrier operations.
  • 5+ years of hands-on experience with carrier-grade VoIP, SIP, SBC, softswitch, or voice platform environments.
  • Strong knowledge of telecom voice technologies and protocols, including SIP, RTP/SRTP, TLS, SDP, DNS, SS7, SIGTRAN, ISUP, and SIP trunking.
  • Experience with carrier voice platforms such as Cisco, Metaswitch, Genband/Ribbon, NetSapiens, or comparable SBC/softswitch platforms.
  • Experience securing SIP trunks, carrier interconnects, wholesale voice, enterprise voice, and customer-facing voice services.
  • Knowledge of voice fraud patterns, telecom abuse scenarios, and mitigation techniques.
  • Experience with AI/ML, automation, scripting, or analytics used for fraud detection, anomaly detection, reporting, or network/security operations.
  • Experience working with software applications and databases used in telecom, security, fraud, provisioning, reporting, or operations environments.
  • Familiarity with tools such as SIEM platforms, firewalls, DDoS platforms, packet capture tools, CDR repositories, fraud systems, dashboards, and log analysis platforms.
  • Strong troubleshooting skills using Wireshark, tcpdump, SIP traces, SBC logs, CDR analysis, SQL queries, and platform diagnostic tools.


Preferred Qualifications


  • Experience supporting Tier 1, Tier 2, or large regional carrier voice networks.
  • Experience with STIR/SHAKEN, robocall mitigation, call authentication, or voice reputation platforms.
  • Experience with scripting, automation, data analysis, or reporting tools such as Python, SQL, Bash, PowerShell, REST APIs, Power BI, or Grafana.
  • Experience with relational or analytics databases such as Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Databricks, Elasticsearch, or OpenSearch.
  • Familiarity with OSS/BSS, provisioning systems, service assurance platforms, fraud management systems, network inventory systems, SIEM/SOAR, or ticketing platforms.
  • Relevant certifications such as CISSP, CISM, or CCNP Security


About FirstLight:

FirstLight, headquartered in Albany, New York, provides fiber-optic data, Internet, data center, cloud and voice services to enterprise and carrier customers throughout the Northeast connecting more than 13,000 locations in service with more than 125,000 locations serviceable by our more than 25,000-route mile network. FirstLight offers a robust suite of advanced telecommunications products featuring a comprehensive portfolio of high bandwidth connectivity solutions including Ethernet, wavelength, and dark fiber services as well as dedicated Internet access solutions, data center, cloud and voice services. FirstLight’s clientele includes national cellular providers and wireline carriers and many leading enterprises, spanning high tech manufacturing and research, hospitals and healthcare, banking and financial, secondary education, colleges and universities, and local and state governments.

FirstLight Fiber is an equal opportunity employer. In accordance with state and federal laws, FirstLight’s equal opportunity policy is that all applicants and employees are treated equally by the company with respect to employment opportunities, regardless of race, color, religion, sex, sexual orientation, disability, or veteran status or veteran disability.




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