Backend Software Engineer

We are seeking a Senior Software Engineer to join our Identification team. In this role, you will focus on developing, maintaining, and scaling backend services that power our fraud detection solutions. Your primary responsibility will be building highly performant backend systems and infrastructure that handle large-scale real-time data processing.

As a Senior Software Engineer, you will leverage Software Engineering techniques to build and maintain high traffic systems. You will collaborate closely with other team members to architect solutions that are reliable, scalable, and efficient. You will own features from concept to deployment and ensure seamless integration with other components in our platform.

Types of Projects and Impact:

• Design, develop, and optimize backend systems for real-time data processing and web services.
• Build scalable APIs and backend infrastructure that support millions of requests per day.
• Work with cross-functional teams to integrate backend components with other services, ensuring performance and scalability.
• Collaborate with the product and engineering teams to improve fraud detection signals.
• Conduct debugging, and testing of backend systems to ensure reliability and efficiency.
• Drive best practices for backend development and architecture, fostering a culture of continuous improvement.
• This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions.

Required Skills:

• BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience.
• 5+ years of experience in backend development, preferably with exposure to data science.
• Extensive experience using large-scale databases like DynamoDB, ScyllaDB, Cassandra, or HBase.
• Experience with AWS container technologies like ECS/Fargate
• Experience designing and maintaining scalable public APIs
• Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
• Ability to thrive in ambiguous environments where you get to work directly with stakeholders with minimal guidance and direction
• Proficient in English for clear communication in a global, remote team.

Nice to Have:

• Experience working specifically with Golang
• Previous Experience with queueing and streaming systems (SQS, Kafka)
• Machine learning knowledge may be a plus:
  • Familiarity with supervised and unsupervised learning methods.
  • Experience working with machine learning pipelines, model deployment, and performance monitoring.
  • Understanding of core ML concepts such as feature engineering, model evaluation, and real-time inference.

Technologies You Will Work With:

• Backend development: Golang (preferred) or equivalent.
• Infrastructure: AWS, DynamoDB, Redis, Elasticsearch.