Full Stack Python Engineer

This engineering role, within our AI Enablement team, is responsible for designing, building, and maintaining a data-driven web application for reporting on usage metrics of our AI capabilities. This role will primarily leverage Angular for the UI, Python/FastAPI for microservices, Postgres for service data, and Databricks (with Unity Catalog) for data engineering pipelines, operating in Azure cloud (AKS). QUALIFICATIONS, SKILLS & EXPERIENCE • Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program. • 3+ years experience with modern front-end frameworks such as Angular • Experience with sustainable engineering practices such as automated testing, continuous integration, continuous deployment, and monitoring / alerting • Experience with integrating Restful APIs, a good understanding of microservices architecture • Experience with JavaScript/TypeScript, HTML, and CSS • Experience with working in modern full-stack web-application development • 3+ years working with Databricks, data engineering, and designing data schemas • 3+ years of experience with container technologies (Docker, Kubernetes, Helm) • Experience building and shipping multiple large software products using agile methodologies • Excellent communication skills, particularly on technical topics. • Comfort with independent learning of new technologies, and willingness to jump into using unfamiliar tools • Strong cross-functional ways of working – this role will deal with data scientists, product managers, engineers, designers, and others • Ability to deal with vague requirements and fast iteration • High level of independence; ability to make time-sensitive decisions rapidly and solve urgent problems without escalation. RESPONSIBILITIES: • Perform development in Typescript/Angular and integrate with FastAPI based microservices • Contribute to design, develop reusable UI components and highly available, low latency, cloud native applications • Participate in full software development life cycle (SDLC) of cloud-based solutions – conceptualize, design, develop, test, deploy and support/enhance • Feel comfortable engaging with the cloud ecosystem – Azure Cloud Services • Develop subject matter expertise of the products/components developed and supported. • Participate in retrospective reviews • Participate in the estimation process for new work and releases • Bring new perspectives to problems • Be driven to improve yourself and the way things are done