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Oscilar

Real-time fraud detection with no-code engine

Senior/Staff Backend Engineer - Java

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in BrazilRemote

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is required.
  • At least 5 years of backend software development experience, focused on Java and AWS technologies, is required.
  • Experience building and operating low-latency, high-scale services in a distributed environment is required.
  • Proficiency in Java programming and a deep understanding of its ecosystem and related frameworks are required.
  • Knowledge of microservices architecture, Docker, Kubernetes, Kafka, and ClickHouse is required.
  • Familiarity with RESTful API design and a strong understanding of security best practices are required.
  • Experience with CI/CD tools including Jenkins, Git, Maven, and Gradle, and agile development methodologies is required.

Responsibilities

  • Design and develop scalable, high-performance, low-latency backend services using Java and AWS technologies.
  • Collaborate with product management, frontend, and QA teams to define technical requirements and ensure smooth integration with other platform components.
  • Optimize and enhance existing services for performance, reliability, and maintainability.
  • Identify and resolve system bottlenecks to ensure optimal resource utilization and system stability.
  • Implement best practices for code quality, testing, and deployment, including CI/CD pipelines.
  • Monitor backend service health and performance, and take necessary actions to mitigate potential issues.
  • Provide technical guidance and mentorship to junior team members.

About the Company

Oscilar

Real-time fraud detection with no-code engine

Oscilar operates in financial technology, offering a real-time fraud detection and risk management platform. It provides a no-code smart decision engine that combines machine learning and heuristic methods, enabling users to create and manage fraud rules and features through a user-friendly interface. The product works by letting financial institutions, e-commerce firms, and other businesses configure and deploy detection rules without heavy engineering effort, with real-time scoring and risk assessment fed by integrated ML models and heuristic checks. The company differentiates itself from competitors by focusing on a no-code rule-building experience, rapid rule creation and updates, and a subscription-based model that reduces the need for bespoke engineering work. Its goal is to help clients quickly implement and adjust fraud detection rules, enhancing operational agility and security while scaling with business needs.

Company size
201-500
Company stage
Early VC
Total funding
$20M
Headquarters
Palo Alto, CA
Founded
2021

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