Required Skills
Software engineering experience in a production environment, with a strong background in system design and architecture.
Expertise in programming languages such as Python and JavaScript. You’re experienced writing scalable, production-level code sufficient to thoroughly review code and mentor on general programming best practices.
Solid understanding of scaling strategies and distributed computing principles.
Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks.
Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus).
Experience with serverless functions, e.g., OpenFaaS.
Preferred Skills
Power Platform, Azure AI Studio, and other Microsoft stack exposure for AI solution deployment.
Certified Kubernetes Application Developer (CKAD) certification or similar credentials.
Demonstrated commitment to DevOps best practices and continuous improvement.
You want to stay fresh with regards to practicing engineering. Continuous improvement is a mantra for you as any system you work with gradually improves over time.
You enjoy machine learning. You've gone deeper than reading blog posts and playing around with ChatGPT.
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