Lead Web Developer (Poland)

Stack

Responsibilities

• ▹Build high-quality and performant user interfaces driving product-specific functionality at the AI ExParte AI Platform
• ▹Collaborate with product designers on shaping flows during the design process
• ▹Collaborate with other front-end engineers on best practices and shared components
• ▹Collaborate with other engineers driving API changes needed to build the best UX
• ▹Work across the product, primarily on the front end (Angular and Bootstrap, migrating to ReactJS)
• ▹Interface directly with internal teams
• ▹Evaluate software and implementation options and document them for technical teams
• ▹Design and develop systems, sub-systems and programs
• ▹Resolve and troubleshoot problems and complex issues
• ▹Perform unit tests and fix bugs
• ▹Integrate best qualitative practices in design and development
• ▹Work with Azure cloud and Databricks
• ▹Develop technical architecture and implementations to meet business needs
• ▹Guide the team's software engineering best practices through documented standards and code reviews

Requirements

• ▹5+ years' professional experience with JavaScript/TypeScript, HTML5 and CSS3 across the full SDLC
• ▹3+ years' experience with T-SQL
• ▹2+ years with .NET core and entity framework core
• ▹2+ years of experience developing software with ReactJS
• ▹Experience in agile software development
• ▹Experience writing REST APIs and microservices-based applications
• ▹Strong analytical and problem-solving skills
• ▹Good time management and organizational skills
• ▹Bachelor's degree in Computer Science, Engineering, Mathematics or a related field

Nice to have

• ▹Experience with Power BI Embedded
• ▹Experience with Python and ML
• ▹Understanding of cloud platforms, specifically Microsoft Azure
• ▹Knowledge of CI/CD tools in Azure DevOps

Soft skills

About the company

Ex Parte provides customers with data and insight for informed decisions on important legal issues; as an early-stage company it is looking for entrepreneurial senior data engineers passionate about big data, AI and machine learning.