Senior Software Engineer, Analytics (Backend)
Location: Canada
Department: Engineering
Location Type: IN_OFFICE
Employment Type: FULL_TIME
About The Team:
What You'll Do:
- Collaborate closely with Product Managers, Designers, and fellow engineers to design and implement backend services to support features in our application, using languages such as, Rust and Golang
- Manage deployments in Kubernetes and monitor system performance and stability
- Actively participate in peer code reviews and Technical Design Spec reviews, providing valuable technical insights to continuously improve our code base
- Lead projects and write technical design documents and specs, while also having an active, hands-on role in implementation and coding
- Participate in our on-call rotation and work with the team to efficiently resolve production issues and ensure the system scales smoothly to meet the growing demands of our customers.
- Conduct data analysis and performance monitoring to identify areas for optimization and enhancement
- Stay up-to-date with the latest industry trends and technologies, incorporating new ideas into our engineering processes
What You'll Bring:
- 6+ years of professional software development experience
- Experience building backend microservices at scale
- Strong Usage of AI tooling or integrations
- Experience with a statically typed language, preferably: Rust and/or Golang, or a strong willingness to learn these two languages quickly
- Experience with ClickHouse, Cassandra or similar NoSQL databases
- Experience with a distributed system event streaming framework such as Apache Kafka
- Experience with Docker and Kubernetes
- Experience designing RESTful APIs and/or gRPC endpoints
- Have a good understanding of clean software design principles
We value a variety of experiences, and these are not required. It would be an added bonus if you have experience in any of the following:
- Experience with Ruby/Rails
- Experience with continuous build in an Agile Environment
- Experience with PostgreSQL or other relational databases
- Experience working on an Analytics team
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