Charm Security-Backend Engineer (Data & Infrastructure)

Description:

We are a stealth startup led by experienced founders, backed by Team8, a leading VC firm, building AI-powered scam prevention solutions, and we’ve just secured seed funding! 

This is an exciting opportunity to join at an early stage and make a huge impact. We’re on a mission to revolutionize the industry and are looking for brilliant, curious, and fun-loving individuals to join our team and build cutting-edge technology.  

We’re looking for a creative Backend Engineer with a passion for security to help build an exciting new product. If you’re ready to lead, innovate, and grow - join us! 

Your role:

As a Backend Engineer, you’ll play a crucial role in designing, developing, and maintaining the core backend services that power our AI-driven fraud prevention platform. You will:

• Design and build scalable, cloud-native backend services using.
• Develop and optimize data pipelines, storage systems, and APIs to process real-time fraud signals.
• Architect and implement event-driven microservices to support large-scale data ingestion and analytics.
• Collaborate with product managers, security researchers and data scientists to deliver high-impact solutions.
• Ensure high performance, scalability, and reliability of backend infrastructure.
• Work with cloud-native technologies (GCP, Kubernetes, serverless frameworks) to deploy and manage services.

• 5+ years of software engineering experience in backend development for large-scale SaaS or data-driven applications.
• Strong expertise in backend technologies and modern API design.
• Experience building data-intensive applications, including event-driven architectures, real-time processing, or batch pipelines.
• Familiarity with cloud-native infrastructure (GCP/AWS, Kubernetes, serverless architectures).
• Experience working with databases (PostgreSQL, BigQuery, or NoSQL solutions).
• Strong problem-solving skills, a growth mindset, and a team-oriented approach.

Nice to Have:

• Experience in fraud prevention, cybersecurity, or risk systems.
• Hands-on experience with stream processing frameworks (Kafka, Pub/Sub, Flink).
• Knowledge of CI/CD pipelines and DevOps best practices.