Senior Software Development Engineer

3 weeks ago


Toronto, Ontario, Canada Amazon Development Centre Canada ULC Full time
About the Role

We are seeking a highly skilled Sr. Software Development Engineer to lead the development of our structured data streaming platform. As a key member of the Ring Data Science & Engineering team, you will be responsible for designing, building, and maintaining highly distributed components of our event streaming platform.

Key Responsibilities
  • Design and implement highly scalable and performant software systems
  • Drive the technical direction and architecture of complex software systems
  • Identify opportunities to improve stability, performance, security, and cost of our services
  • Deliver customer value in an iterative fashion while working towards longer term systems goals
  • Make data-driven decisions to inform product prioritization
  • Provide technical expertise throughout the product lifecycle and influence engineering best practices
  • Participate in the hiring, coaching, and mentoring of engineers
About the Team

You will be joining a veteran team with several members who have 4+ years of experience at Ring and Amazon. We are part of the Amazon Devices family and are seeking engineers who will help us create the next generation of home security solutions.

Requirements
  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture of new and existing systems experience
  • Experience as a mentor, tech lead, or leading an engineering team
  • Strong analytical and problem-solving skills
Preferred Qualifications
  • 5+ years of full software development life cycle experience
  • Bachelor's degree in computer science or equivalent
  • Experience working in an Agile environment following Scrum or Kanban methodology
  • Experience with modern CI/CD systems
  • Experience with managing Kubernetes EKS clusters
  • Experience with streaming data processing technologies such as Kafka, Amazon Kinesis, Spark, or Flink
  • Experience with infrastructure-as-code using Terraform or CloudFormation/CDK


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