Overview
Skills
Job Details
*Only W-2 candidates who are local to the Pittsburgh area will be considered, no C2C*
Job at a glance:
This is a long-term contract, with an initial term of 6 months, planned for extension and/or permanent placement
Pay rate is $68-$73/hr W2 + eligible to sign up for benefits (Medical, Dental, Vision, and 401k) on day 1
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.
Responsibilities
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.
Qualifications
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.
About the Client
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.
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