Software Support Engineer for Smart Home Security

hace 1 semana


Madrid, Madrid, España Amazon A tiempo completo

RING, a leading Amazon company, specializes in smart home security solutions. Its primary products include video doorbells and security cameras that enable users to monitor their homes in real-time through live feeds, receive motion alerts, and engage with visitors via two-way audio.

The Data Science and Engineering team at RING oversees products and services for the company's growing analytics and operational needs. The team manages a portfolio of services that facilitate centralized data collection, aggregation, and standardized data modeling for various analytics use cases.

The mission of the team is to accelerate innovation and promote data-driven decision-making across all aspects of RING's business. To achieve this, the team builds products and services that streamline data collection, deliver standardized metrics and analytics tools, identify opportunities to deploy machine learning, and provide actionable insights while ensuring privacy by design for all RING products and services.

Key Responsibilities:

  • Provide technical and operational support for the Ring Data Science Engineering Team
  • Support incoming tickets, including extensive troubleshooting tasks, covering multiple products, features, and services
  • Work on operations and maintenance driven coding projects and AWS technologies
  • Support software deployment in staging and production environments
  • Automate processes to reduce operations and maintenance
  • System and Support status reporting
  • Ownership of one or more Digital products or components
  • Customer notification and workflow coordination and follow-up to maintain service level agreements

About the Team:

Ring Data Science and Engineering is organized into three sub-organizations: 1) Data Operations, 2) Data Warehouse, and 3) Data Science and Analytics. Originally established to drive Ring's data strategy, governance, architecture, analytics platforms, and business insights, we are now expanding our focus to support Blink, Key, and Sidewalk.

Data Operations is responsible for large-scale data collection services (e.g., API services), near-real-time telemetry streaming (e.g., Kinesis/Kafka), and operational analytics platforms (e.g., Splunk). This organization is divided into four teams: EventStream, LogStream, Quick Action Service (QAS), and Database Engineering.

Data Warehouse handles foundational data engineering pipelines (e.g., Airflow jobs using EMR), analytics platforms (e.g., Athena, Redshift, Tableau), and privacy compliance automation services (e.g., API services). This org is also divided into four teams: Platforms, Business Vertical Data Pipelines, Data Quality, and Data Privacy. These two-pizza teams primarily consist of Data Engineers, Software Development Engineers, and System Development Engineers.

Data Science and Analytics is responsible for Ring's foundational AI/ML models, core business metrics, shared data models, product analytics dashboards, and analyst/scientist support. This organization is split into two teams: Business Intelligence and Data Science, with team members primarily comprising Business Intelligence Engineers and Data Scientists.

Basic Qualifications:

  • 2+ years of software development experience or 2+ years of technical support experience
  • Bachelor's degree in engineering or equivalent
  • Experience troubleshooting and debugging technical systems
  • Experience in Unix
  • Experience scripting in modern programming languages
  • Good knowledge of database concepts

PREFERRED QUALIFICATIONS:

  • Experience with AWS, networks, and operating systems

The estimated salary for this position is around $100,000 - $150,000 per year, depending on location and experience.



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