TigerEye helps businesses make better strategic decisions. For our customers to make critical strategic decisions in TigerEye we must be highly available, reliable, and bug free.

Here are a few of the things that you might do as a Backend Engineer at TigerEye:

Develop & manage large-scale production services & data/ETL pipelines
Write SQL queries to process and transform data from external sources
Collaborate with stakeholders across the company including engineering, product, operations, sales and marketing
Develop services and pipelines that will operate in accordance with industry standards for data security and privacy
Develop, test & maintain backend business logic, as well as integrations and APIs to meet security, scalability and performance requirements to ensure our services run reliably and efficiently at scale
Write operational and user documentation to allow other engineers to operate and maintain our software systems
Create a build system that can build: Mac, iOS, Android, Windows and Web
Deploy to Android Play Store, iOS App Store, Windows Store, and the Web
Build a system that will scale to manage deployments in thousands of environments running on arbitrary cloud service providers (GCP, AWS, Azure, …)
Maintain a fast and always flowing CI/CD pipeline for analysis, testing, and build artifacts
Implement security and compliance standards in a way that enables engineers to work quickly and safely
Develop and execute against both short-term and long-term roadmaps, making tradeoffs considering business priorities, user experiences and sustainability of TigerEye’s technical foundation

Qualifications

Have 2+ years of professional experience building backend services and APIs
Excellent programming, debugging and optimization skills in one or more general purpose programming languages, including Go, Dart, SQL and Python
Experience contributing across all phases of a software project life cycle
A Bachelor's Degree (or equivalent work experience) in computer science
Experience in cloud environments like AWS or Google Cloud

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