Job Details

SUMMARY:

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.

• 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