About the Role

We are seeking a skilled Backend Engineer to build robust, scalable infrastructure for our robotics data platform. You'll develop systems that handle training data processing, model deployment, real-time telemetry, and operational analytics for industrial robotic systems. This role requires expertise in distributed systems, data engineering, and high-performance computing.

Key Responsibilities

• Design and implement scalable backend services for robotics data management

• Build data ingestion pipelines for multi-modal sensor data (cameras, LiDAR, force sensors)

• Develop APIs for training data annotation, curation, and version control

• Create model serving infrastructure for perception and planning algorithms

• Implement real-time data processing systems for deployed robot fleets

• Design database schemas and data models for training datasets and operational telemetry

• Build monitoring and logging systems for production robotic deployments

• Develop job scheduling and orchestration systems for data processing workflows

• Optimize database queries and data access patterns for performance

• Implement security, authentication, and access control mechanisms

• Create automated testing and deployment pipelines

• Integrate with robotic control systems and edge computing devices

• Establish data retention policies and archival strategies

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field

• 3-5 years of professional backend development experience

• Strong proficiency in Python, Java, Go, or C++

• Experience designing and implementing RESTful APIs and microservices

• Solid understanding of relational and NoSQL databases

• Knowledge of distributed systems concepts and design patterns

• Experience with message queuing systems (RabbitMQ, Kafka, NATS)

• Familiarity with cloud services and infrastructure (AWS, Azure, GCP)

• Proficiency with Docker and containerization

• Experience with SQL and database optimization

• Understanding of security best practices and data privacy

Preferred Skills

• Experience with time-series databases and high-frequency data streams

• Knowledge of data lake architectures (S3, MinIO, HDFS)

• Familiarity with machine learning deployment and MLOps

• Experience with gRPC and Protocol Buffers

• Understanding of robotic middleware (ROS, ROS2) and communication patterns

  Background in video processing and computer vision pipelines

• Experience with Kubernetes and service mesh technologies

• Knowledge of caching strategies (Redis, Memcached)

• Familiarity with monitoring tools (Prometheus, Grafana, ELK stack)

• Experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions)

• Understanding of edge computing and IoT architectures

Personal Attributes

• Strong analytical and problem-solving abilities

• Systematic approach to designing scalable systems

• Excellent debugging and troubleshooting skills

• Detail-oriented with focus on reliability and performance

• Collaborative mindset for cross-team integration

• Self-directed with strong time management

• Interest in robotics and industrial automation applications

• Commitment to code quality and documentation

What We Offer

• Competitive compensation package

• Opportunity to build infrastructure for cutting-edge robotics

• Work with modern technologies and cloud platforms

• Professional development and training support

• Collaborative engineering environment

• Modern lab and development facilities

• Exposure to full robotics system stack