You are known for raising the bar in backend development with a passion for unifying data and building systems that scale from both an operational and an organizational perspective
You have a deep understanding of design, data structures, and algorithms
Your opinions on SOA concepts, principles, and patterns come from lessons learned, and mistakes made
You think like a product owner and are, at heart, very relationship-driven and customer-focused
You’re a critical thinker who is equal parts transparent and kind, who also seeks out feedback on your own work for collaborative improvements
At the end of the day, you want the really hard stuff; the impossible-to-figure-out problems, because you know there’s a solution
Your approach of looking for what’s possible is infectious, and you genuinely enjoy bringing that energy to the room with your teammates
You’re agile in temperament and discipline and also flexible and can switch tasks as priorities change.
You can intelligently speak to recent advancements in machine learning, AI, and shifts in the development landscape because you are a lifelong learner
Requirements
Top-notch communicator with experience on highly collaborative, agile teams within a Product-oriented organization
Heavy focus on ML and AI aspects of engineering with specific experience in building, productizing, and monitoring pipelines for AI and ML
Experience with AWS platform architecture
Experience with containers/orchestration (Docker and Kubernetes preferred)
Extensive knowledge of YAML, Swagger, OpenAPI, and completely integrate API Pre and Post Flow using JavaScript
Experience with both traditional SQL relational databases, and document databases such as MongoDB
Certification in Cloud Development from AWS, AZURE or GOOGLE a plus
Experience in re-architecting monolithic systems into microservices, utilizing cloud vendor agnostic frameworks
5+ years experience with microservices software architecture
5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
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