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województwo małopolskie, Polska
Hybrid
Posting Type
Hybrid
Job Overview
WHO WE AREJob Description and Requirements
WHAT YOU’LL DO
Design and implement complex software solutions and platform capabilities
Lead technical discussions and contribute to architectural decision making
Develop and maintain shared frontend capabilities, reusable UI components, and design system assets
Drive modernization initiatives and adoption of engineering best practices
Mentor engineers and support technical growth across teams
Improve application quality, maintainability, accessibility, security, and performance
Partner with Product, UX, and Engineering stakeholders to deliver business value
Identify and address technical debt, scalability challenges, and platform opportunities
Drive adoption of AI-assisted software development practices across engineering teams
Create and maintain structured technical specifications for specification-driven development workflows
Use AI tools for planning, implementation, testing, documentation, code reviews, and knowledge sharing while maintaining engineering quality standards
Establish best practices for integrating AI capabilities into the software development lifecycle
Evaluate, validate, and govern AI-generated solutions to ensure compliance with architectural, security, and quality standards
Promote reusable engineering patterns that improve delivery speed without sacrificing maintainability or reliability
Design, develop, and maintain internal AI-powered engineering tools that improve frontend development productivity
Contribute to platforms enabling generation of applications, components, tests, and documentation from structured specifications
Collaborate with UX, Product, and Engineering teams to develop AI-driven solutions that accelerate development while ensuring consistency
Build reusable AI capabilities that improve engineering efficiency and reduce implementation overhead
Influence the organization’s AI strategy by identifying opportunities to improve developer experience and software delivery
WHAT WE’RE LOOKING FOR
Required
Advanced proficiency in JavaScript, TypeScript, React, and modern frontend architecture
Strong understanding of software architecture, design patterns, system design, and distributed systems
Experience building and maintaining design systems, reusable platforms, and shared engineering capabilities
Strong knowledge of automated testing, CI/CD, and software quality practices
Experience with AI-assisted software development tools and workflows
Understanding of specification-driven development methodologies
Excellent communication, collaboration, mentoring, and technical leadership skills
Ability to influence technical direction across multiple teams and initiatives
Preferred
Experience contributing to internal platforms or developer productivity tooling
Experience integrating AI capabilities into engineering workflows or products
Experience working in scalable, multi-team frontend ecosystems
WHY WE COULD BE A GREAT FIT
Impactful Mission
Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
Engineering at Scale
Work on distributed, cloud-native systems that process large volumes of data.
Cutting-Edge Technology
Build with AI, cloud platforms, and scalable architectures shaping legal tech.
Growth and Ownership
Gain experience owning systems end-to-end across cloud and distributed environments.
Collaborative Culture
Work in a team focused on knowledge sharing and continuous improvement.
Inclusive Environment
Diverse perspectives create stronger teams and better outcomes.
Compensation and Benefits
Competitive salary, benefits, DTO, parental leave, and equity program.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
208 000 and 312 000PLNThe final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Required Skills:
Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership
