Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.

Why Join Us

• Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.
• Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.
• Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.

Job Description We are looking for a Senior/Staff Backend Engineer with deep expertise in backend development. In this role, you will design, implement, and optimize services that leverage Apache Kafka to handle high-throughput, real-time data streams. You will also be responsible for scaling and maintaining databases such as Postgres, Redis, DynamoDB, and ClickHouse, all within a cloud-based AWS infrastructure.

This is a senior technical leadership role, where you will collaborate across teams, mentor engineers, and drive the scalability, performance, and reliability of Oscilar’s backend systems.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and AWS technologies.

Requirements

• Backend Development: 8+ years of experience with Java in large-scale, distributed environments.
• Kafka Mastery: Extensive experience with Apache Kafka, including Kafka Streams, Kafka Connect, partitioning, replication, and consumer group management.
• Cloud Infrastructure: Strong experience with AWS services (e.g., MSK, EC2, RDS, DynamoDB, S3, Lambda).
• Distributed Systems: Solid understanding of distributed system design, messaging patterns, and eventual consistency.
• Performance Optimization: Proven ability to diagnose and resolve bottlenecks in streaming and database systems.

Nice-to-have

• Experience integrating Kafka with analytics solutions like ClickHouse.
• Knowledge of event-driven architecture and streaming patterns like CQRS and event sourcing.
• Hands-on experience with monitoring tools (e.g., Prometheus, Grafana, Kafka Manager).
• Experience automating infrastructure with tools like Terraform or CloudFormation.
• Proficiency with Postgres, Redis, ClickHouse, and DynamoDB. Experience with data modeling, query optimization, and high-transaction databases.
• Familiarity with encryption, role-based access control, and secure API development.