9 дней назад
Senior Software Engineer (Fraud Prevention)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Fraud Prevention/Python): Building and operating reliable, low-latency fraud prevention services and APIs for real-time, cloud-native banking systems with an accent on Python modernization, AWS serverless architecture, and production reliability. Focus on designing event-driven services, integrating with enterprise banking platforms, applying AI-assisted engineering approaches, and improving observability, testing, and deployment practices.
Location: Cary, North Carolina, United States; hybrid work opportunities
Company
provides digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.
What you will do
- Design, build, and operate reliable, low-latency fraud prevention services and APIs.
- Develop new fraud capabilities and improve existing production systems.
- Modernize Python services, shared patterns, development tooling, and engineering practices across the fraud platform.
- Design and operate AWS cloud-native architectures, including serverless and event-driven systems.
- Improve observability, testing, deployment practices, and operational reliability.
- Collaborate with data scientists, product teams, and engineers; mentor engineers and establish maintainable patterns.
Requirements
- Strong experience building and operating production software systems.
- Deep proficiency in Python and experience building maintainable services and APIs.
- Experience with cloud architecture, infrastructure as code, CI/CD, distributed systems, event-driven systems, or serverless systems.
- Strong understanding of API design, system integration, reliability, and production observability.
- Ability to work in complex enterprise codebases and collaborate across engineering, data science, and product teams.
- Fluent written and oral English and authorization to work for any employer in the United States are required. Visa sponsorship is not available.
Nice to have
- Experience with AWS Lambda, DynamoDB, SQS, Kinesis, and S3.
- Experience with CloudFormation, SAM, Terraform, or CDK.
- Experience with banking, payments, fraud prevention, or high-volume financial systems.
- Experience with machine learning systems, real-time model inference, legacy platform integration, or C#/.NET, Java, or another strongly typed enterprise framework.
- Familiarity with modern Python dependency and build tooling such as UV.
Culture & Benefits
- Hybrid work opportunities and flexible time off.
- Career development and mentoring programs.
- Health insurance and wellness benefits, including paid parental leave for eligible new parents.
- Community volunteering and company philanthropy programs.
- Employee peer recognition programs.
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