SEON Technologies

SEON Technologies is a leading fraud prevention system that provides real-time actionable insights to help businesses prevent fraud before it occurs. Trusted by over 5,000 global companies, SEON combines proprietary signals with client data to deliver quick and seamless integration, enabling effective fraud detection throughout the customer journey.

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Jobs at this company:

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🔥 Senior Fullstack Engineer

Posted 1 day ago

📍 EU

🔍 Fraud Prevention

🔧 Requirements

7+ years experience in fullstack software engineering (NodeJS, TypeScript, React, REST, RDBMS, NOSQL)
Strong experience in automated tests
Strong experience in performance optimization
Experience in designing modular systems
Experience in containerization (Docker) and Kubernetes
Experience in continuous integration and delivery

💡 Responsibilities

Contribute to the ID Verification team
Deliver high-quality NodeJS, TypeScript and React code
Design and implement application features
Maintain & develop in NodeJS, TypeScript, React, NestJS, REST, RDBMS & backend of our applications
Support and suggest improvements to the codebase
Provide expertise and review pull requests
Help during the Software Development Life Cycle
Mentor senior and mid-weight colleagues

AWSBackend DevelopmentDockerNode.jsPostgreSQLSQLAgileExpress.jsFrontend DevelopmentFull Stack DevelopmentJestKubernetesTypeScriptRDBMSNest.jsNosqlReactCI/CDMentoringMicroservicesSoftware Engineering

Posted 1 day ago

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🔥 Fullstack Engineer

Posted 1 day ago

🔍 Fraud Prevention

🔧 Requirements

At least 3+ years experience in fullstack software engineering (NodeJS, TypeScript, React, REST, RDBMS, NOSQL)
Agile & iterative mindset (end-to-end responsibility; you build it, you run it)
Experience in API design and development, with an understanding of RESTful principles
End to end ownership from product requirements, planning, implementation and rollout.
Strong experience in automated tests
Demonstrated ability to debug and troubleshoot issues across a distributed system
Understanding of data modeling and querying, particularly in a relational database context
Familiarity with security considerations in web applications and APIs
Experience in containerization (Docker) and Kubernetes
Excellent problem-solving skills
English Language Proficiency
Experience in AWS

💡 Responsibilities

Contribute to our ID Verification team, which is growing to be an essential part of our fraud prevention solution
Deliver high-quality NodeJS, TypeScript and React code with simplicity, performance, and scalability in mind
Maintain & develop in NodeJS, TypeScript, React, NestJS, REST, RDBMS & backend of our applications
Supporting, refining and suggesting improvements to the current codebase
Providing expertise, reviewing pull requests of other team members suggesting improvements and best practices for the team
Help during the whole Software Development Life Cycle including the design of new features and services
Bring an engineering mindset, you care about how things work, how they scale, and how they can be improved over time.

Posted 1 day ago

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🔥 OSINT Researcher (EU Remote)

Posted 3 days ago

🔍 Fraud prevention

🔧 Requirements

Strong hands-on experience with Python 3.9+, including libraries for HTTP requests, asynchronous workflows, scraping, and automation.
Proven web and mobile reverse engineering skills, including traffic interception, request signature decoding, and anti-bot circumvention.
Familiarity with tools like Burp Suite, mitmproxy, Frida, or similar for debugging and traffic inspection.
Experience using cyber intelligence platforms and mining publicly available data (including open forums, leaks, or search engines).
Knowledge of fraud tactics and a keen interest in understanding threat actors and their digital footprints.
A strong analytical mindset and creative problem-solving skills.
Excellent communication skills in English (written and spoken).

💡 Responsibilities

Conduct open-source investigations across websites, platforms, and mobile applications to uncover relevant and verifiable data points.
Research hundreds of online sources and surface-level or deep web endpoints to identify patterns, behaviors, and structures for data extraction.
Stay current with OSINT tools, cyber intelligence practices, and threat actor tactics in the digital fraud landscape.
Collect, analyze, and organize intelligence from diverse public sources, including data breaches, forums, and leaked datasets.
Reverse engineer web and mobile applications to identify and extract accessible data points.
Intercept and analyze network traffic using tools such as Burp Suite, mitmproxy, or Frida to understand client-server interactions.
Build proof-of-concept scrapers and automation scripts in Python 3.9+ to validate the viability of OSINT data sources.
Use proxy infrastructure (residential, datacenter, rotating) to conduct distributed, anonymized research at scale.
Partner closely with software engineers to refine and productionize successful research findings into high-throughput data enrichment services.
Proactively contribute to improving SEON’s data-gathering platform by identifying new sources and more efficient data extraction methods.
Participate in technical design discussions related to crawler architecture and OSINT pipelines.

Posted 3 days ago

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🔥 Senior Manager, Site Reliability Engineering (EU CET)

Posted 11 days ago

📍 European Union

🔍 Fraud Prevention

🔧 Requirements

Proven success in leading high-performing SRE or DevOps teams in a large-scale, fast-paced environment
Extensive experience running high-availability web services at a large scale, with comprehensive knowledge of cloud-native architectures and advanced networking concepts
Strong technical background with hands-on experience in cloud computing, system architecture, automation, and monitoring
Experience with tools and technologies such as AWS, Kubernetes, Terraform, Prometheus, Grafana, Jenkins, and similar.

💡 Responsibilities

Lead and grow a high-performing SRE team responsible for the reliability, performance, and scalability of production systems.
Own the incident management process, postmortems, and root cause analysis to improve system resilience.
Drive implementation of SLAs, SLOs, and error budgets across services to align operational goals with business objectives.
Champion the use of automation to reduce manual work and improve deployment and recovery times.
Collaborate with software engineering and Platform engineering teams to ensure systems are designed for reliability and operational efficiency.
Oversee system monitoring, alerting, and observability efforts using tools like Prometheus, Grafana, Datadog, or similar.
Manage on-call rotations, and ensure proper documentation, runbooks, and playbooks are maintained.
Identify and drive continuous improvement in system architecture, capacity planning, and deployment strategies.
Ensure compliance with security, privacy, and regulatory requirements within the infrastructure.
Provide mentorship, performance reviews, and career development opportunities for SRE team members.
You will communicate effectively with stakeholders at all levels, providing updates on team performance, project status, and incident resolutions.
You will advocate for the SRE team within the broader organization, representing their needs and concerns

AWSDockerPythonBashCloud ComputingJenkinsKubernetesGrafanaPrometheusCI/CDRESTful APIsLinuxDevOpsTerraformMicroservicesNetworkingJSONAnsibleScripting

Posted 11 days ago

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🔥 Technical PM, AI Research

Posted 17 days ago

📍 United States

🔍 Fintech

🔧 Requirements

Deep expertise in computer vision, particularly document understanding, OCR, and information extraction
Strong understanding of modern NLP techniques, especially those applicable to entity recognition, name matching, and contextual understanding
Experience designing and implementing high-assurance AI systems with appropriate verification, validation, and explainability
Demonstrated ability to translate research into working prototypes and production systems
Expertise in LLM behavior engineering for large language models and multimodal AI systems
Demonstrated ability to design and implement effective evaluation frameworks for AI models
Experience with systematically improving AI model performance through iterative testing and refinement
Applied Research experience in Computer Science, Electrical Engineering, or related field

💡 Responsibilities

Design and implement advanced architectures for document understanding that can extract, normalize, and verify complex identity data from diverse document types
Create novel solutions for AML name screening that incorporate context-aware matching, transliteration handling, and explainable decision frameworks
Develop evaluation methodologies that rigorously benchmark new approaches against both academic standards and real-world performance metrics
Design sophisticated AI interaction architectures that optimize model performance across document analysis and fraud prevention systems
Build systematic frameworks for collecting and analyzing model performance data to guide continuous improvement cycles
Architect end-to-end systems for document analysis that combine computer vision, OCR, and structured information extraction with robust verification logic
Build high-assurance systems with appropriate guardrails, confidence scoring, and formal verification methods
Develop APIs and integration patterns that allow seamless incorporation of AI capabilities into SEON's broader platform
Create comprehensive evaluation suites for measuring model accuracy, fairness, and reliability against established benchmarks
Establish methodologies for training, fine-tuning, and continuously improving AI models with domain-specific data
Evaluate emerging research, tools, and platforms from major cloud providers and research institutions
Develop product-focused neural reasoning frameworks that balance performance with explainability requirements
Create innovative evaluation methodologies that validate AI systems against both technical and business metrics
Partner with product management to translate research innovations into market-ready capabilities
Collaborate with compliance and legal teams to ensure AI systems meet regulatory requirements for explainability and audibility
Build relationships with academic researchers and industry partners to accelerate innovation
Mentor and guide engineers as the Austin AI Innovation team grows

Posted 17 days ago

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🔥 Senior Manager, FP&A

Posted about 1 month ago

📍 United States

🔍 SaaS, FinTech

🔧 Requirements

8+ years of progressive experience in FP&A or corporate finance, including 3+ years in a leadership role is ideal.
Proven ability to influence senior stakeholders and translate complex data into actionable insights.
Strong understanding of payroll forecasting, compensation modeling, and cost management processes.
Proficiency in financial systems required (Netsuite) and advanced Excel experience
Strong analytical skills with the ability to create actionable insights from financial data.
Ability to work cross-functionally across all departments within the organization.
Excellent communication and presentation skills, with the ability to influence decision-makers and provide strategic recommendations.
Experience in high-growth environments or startups within SaaS or FinTech industries, is a plus.

💡 Responsibilities

Lead the annual budgeting process, quarterly forecasts and long-range planning.
Develop financial models and provide insights to support business strategies.
Partner with business leaders to provide financial visibility and analysis for key initiatives.
Collaborate with the People team ensuring headcount growth aligns with budget and strategic goals.
Oversee the planning, forecasting, and tracking of travel-related expenses to ensure travel costs are managed in line with company policy and budget.
Create cash flow forecasts that reflect the company’s business operations, ensuring liquidity and supporting long-term financial planning.
Consolidate and manage the consolidation of FP&A inputs from both topline revenue forecasts and fixed cost areas, ensuring alignment and accurate reporting for the leadership team.
Guide resource allocation and investment decisions based on financial ROI.

LeadershipFinancial ManagementCommunication SkillsAnalytical SkillsMicrosoft ExcelBudgetingFinancial analysisSaaSBudget management

Posted about 1 month ago

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🔥 Staff Software Architect (EU Remote/Hybrid, CET Timezone)

Posted 3 months ago

📍 United States

🔍 Fraud Prevention

🔧 Requirements

Strong working knowledge of modern web development technologies (two or more of the following: Java with Spring, JavaScript/TypeScript, Python)
Experience with measuring and improving the performance of distributed systems
Strong understanding of how web services and SaaS applications work
Expertise with Amazon Web Services (AWS)
Experience with relational databases (we use PostgreSQL)
Experience with multiple database technologies (eg.: ClickHouse, Neo4J, Redis, Elasticsearch)
Experience with modern DevOps tools (Terraform, Kubernetes, GitHub Actions, ELK stack)
Strong organizational skills and ability to work together with both technical and non-technical stakeholders
Ability to work independently, prioritize your workload
Excellent written and verbal English communication skills

💡 Responsibilities

Work out the technical scope of cross-team software projects based on the business requirements
Collaborate with the development teams to design robust and performant solutions to the needs of SEON and our customers
Analyze the performance of existing systems and work out solutions for improving it
Document design decisions in the form of Architecture Decision Records
Review the implementation of the technical plans
Prepare deployment and migration plans and improve on existing deployment processes
Collaborate with the engineering teams to push our solutions to production in a timely and efficient manner
Collaborate with the Product Management team to prioritize, schedule and deliver new developments
Work together with the SRE team to troubleshoot production issues and to enhance the observability of existing products
Manage the implementation of our projects, coordinate between teams

AWSPostgreSQLPythonElasticSearchJavaJavascriptKubernetesSoftware ArchitectureSpringTypeScriptClickhouseRedisCI/CDRESTful APIsDevOpsTerraformMicroservices

Posted 3 months ago

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🔥 Data Engineer (Europe Hybrid / Remote)

Posted 6 months ago

📍 Hungary

🧭 Full-Time

🔍 Fraud prevention and financial services

🔧 Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
3+ years of experience in data engineering, software development, or related roles.
Demonstrated success in building and maintaining scalable data pipelines and systems.
Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).
Hands-on experience with big data tools like Spark, Hadoop, or Kafka.
Expertise with cloud platforms (AWS, Azure, GCP) and services such as S3, Lambda, and Dataflow.
Strong understanding of data modeling, warehousing, and architecture principles.
Ability to work with large datasets and solve complex data challenges.
Fluent English knowledge.

💡 Responsibilities

Build, maintain, and optimize scalable ETL/ELT pipelines to process structured and unstructured data.
Automate workflows to ingest, transform, and store data in real-time or batch processing frameworks.
Architect and maintain cloud-based data platforms, such as Snowflake, BigQuery, or Redshift.
Manage and optimize relational and NoSQL databases for analytics and operational needs.
Partner with data scientists, analysts, and software engineers to deliver end-to-end data solutions.
Translate business requirements into data models, workflows, and engineering tasks.
Implement systems for data validation, lineage tracking, and quality monitoring.
Monitor and enhance the performance of data systems to handle increasing scale and complexity.
Leverage big data tools (e.g., Apache Spark, Kafka) for processing and analytics.

AWSPythonSoftware DevelopmentSQLETLGCPHadoopJavaKafkaSnowflakeAzureData engineeringNosqlSparkCommunication SkillsCollaborationComplianceScalaData modeling

Posted 6 months ago

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