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Duration: long-term contract, with an initial term of 6 months
Location: Remote
Job At a Glance
- Team: AI Enablement team supporting centralized visibility across multiple AI tools and platforms.
- Tech Stack: Angular (UI), Python/FastAPI (microservices), Postgres, Databricks with Unity Catalog, Azure (AKS).
- Work Style: Highly independent role with support from one product partner and one engineering coach or mentor.
- Role Focus: Design, build, and maintain a data-driven web application reporting usage metrics for AI capabilities.
- Frontend Development: Develop in TypeScript/Angular and integrate with FastAPI-based microservices.
- UI & Application Design: Design and develop reusable UI components and highly available, low-latency, cloud-native applications.
- Full SDLC Ownership: Participate in conceptualization, design, development, testing, deployment, and ongoing support.
- Cloud Engagement: Work comfortably within the Azure cloud ecosystem.
- Product Expertise: Develop subject matter expertise for supported products and components.
- Agile Participation: Participate in retrospectives and estimation for new work and releases.
- Problem Solving: Bring new perspectives to problems and drive continuous improvement.
- Growth Mindset: Be driven to improve personal skills and existing ways of working.
- Education: Bachelor’s degree in Computer Science, MIS, Mathematics, Business Analytics, or a technically strong equivalent.
- Frontend Experience: 3+ years using modern frameworks such as Angular.
- Web Technologies: Experience with JavaScript/TypeScript, HTML, and CSS.
- API & Architecture: Experience integrating RESTful APIs with a solid understanding of microservices architecture.
- Full-Stack Development: Experience building modern full-stack web applications.
- Data Engineering: 3+ years working with Databricks, data engineering, and data schema design.
- Containers: 3+ years using Docker, Kubernetes, and Helm.
- Engineering Practices: Experience with automated testing, CI/CD, monitoring, and alerting.
- Delivery: Experience building and shipping multiple large software products using agile methodologies.
- Communication: Strong technical communication skills.
- Learning Agility: Comfort learning new technologies and working with unfamiliar tools.
- Collaboration: Strong cross-functional collaboration with engineers, data scientists, product managers, and designers.
- Ambiguity Handling: Ability to work with vague requirements and support fast iteration.
- Autonomy: High independence with the ability to make rapid, time-sensitive decisions without escalation.
- Mission: Build a centralized web platform for leadership to track usage metrics across AI tools and capabilities.
- Team Structure: Independent role outside of a traditional delivery team, supported by one product partner and one engineering coach or mentor.
- Work Environment: Remote or onsite flexibility with no travel required.
Key Skills
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