Senior Backend Engineer

• Designing and building scalable backend services that power Sauron's products and operations.
• Developing APIs and service interfaces used by mobile applications, web applications, and connected devices.
• Building real-time systems that process telemetry, sensor data, video events, and security alerts.
• Architecting cloud infrastructure that supports reliable communication between edge devices and backend services.
• Designing secure authentication, authorization, and identity management systems.
• Building event-driven and distributed systems capable of operating at large scale.
• Working closely with robotics, perception, mobile, and product teams to deliver end-to-end solutions.
• Translating business and product requirements into high-quality, maintainable production systems.
• Improving system performance, reliability, observability, and operational excellence.
• Being proactive, self-starting, and continuously learning new technologies, methods, and approaches to solve challenging problems.

• 5-7+ years of software development experience, preferably building production backend systems.
• Strong proficiency in one or more backend languages such as Go, Python, Rust, Java, or C++.
• Experience designing and operating distributed systems and microservice architectures.
• Strong understanding of API design, including REST, gRPC, and event-driven communication patterns.
• Experience working with relational and non-relational databases such as PostgreSQL, MySQL, Redis, or DynamoDB.
• Experience deploying and operating applications in cloud environments, preferably AWS.
• Familiarity with containerization technologies such as Docker and orchestration platforms like Kubernetes.
• Strong understanding of system design, performance optimization, reliability, and scalability.
• Experience implementing monitoring, logging, and observability solutions.
• Excellent debugging, testing, and software engineering fundamentals.

• Experience working with robotics, autonomous systems, IoT, or connected devices.
• Knowledge of streaming systems such as Kafka, NATS, or RabbitMQ.
• Experience building real-time data processing pipelines.
• Familiarity with video processing, computer vision infrastructure, or large-scale media systems.
• Experience with infrastructure-as-code and cloud automation tools.
• Understanding of security best practices and secure system design.
• Experience working in fast-paced startup environments.
• Experience taking products from 0→1 and scaling them through rapid growth.

Compensation