Platform Software Development Engineer

2 weeks ago


Toronto ON, Canada Boosted.ai Full time

ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to find stock opportunities. We are a well funded, post Series-B company - our lead investors are innovators and disruptors in financial and technology markets, including Spark Capital (Twitter, Slack, Affirm), Ten Coves Capital (Plaid, Sentieo, TouchBistro), Portage Ventures (Wealthsimple, Borrowell, Nesto), and RBC (Royal Bank of Canada).
We are looking for a skilled Platform Software Engineer to supercharge our software and platforms to help meet our cloud needs. As a key member of the Platform, the Platform Software Engineer will be charged with designing, building and migrating applications, software, and services on the AWS platform, ensuring solutions are designed for successful deployment in the cloud. Engineers on the Platform team have a passion for writing reusable, performant solutions to complex problems, who can keep an open mind and adapt to an ever-changing market landscape, and who can collaborate and work effectively on small teams.
Optimize and automate application build, test, and deployment cycles
Familiarity with Python, Java, or C++ and SQL at an enterprise level
Hands-on AWS experience with at least 1 implementation (preferred in an Enterprise scale environment)
Experience with instrumentation for monitoring / logging the health and availability of services
Working knowledge of Software Development Lifecycle
Ability to gather requirements from internal stakeholders and perform user acceptance testing
Experienced in developing test plans, test cases, baselines, and conducting end-to-end testing
Bachelor's Degree in Computer Science and 2+ years relevant experience
Knowledge of DevOps, and CI/CD pipeline
Proficiency in DevOps Automation via Jenkins (Jenkinsfile/Groovy scripting)
Understanding of Containerization via Docker, Kubernetes and serverless software development
Understanding of Data Storage, Data ETL Process, of DBMS best practices
As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences.



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