Staff Software Engineer – Engineering Platform

Poland·Krakówlead

Software EngineerSoftware Engineering

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Quick Summary

Overview

Posting Type Hybrid Job OverviewWHO WE ARERelativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence.

Technical Tools

Software EngineerSoftware Engineering

Posting Type

Hybrid

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.

The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.

WHAT WE DO
At Relativity, engineers don’t just write code. They harness AI tools to architect, optimize, and deliver scalable software faster while shaping the future of legal technology. Engineers help customers uncover critical insights, ensure compliance, advance access to justice, and continuously evolve the platform using cloud-native architectures, AI capabilities, and modern developer tooling.

The Engineering Platform team owns the frameworks, services, and infrastructure that every product team at Relativity builds on. The team enables scalable software delivery through shared platforms, frontend frameworks, backend services, and cloud infrastructure.

ABOUT THE ROLE
This is a full-stack Staff Software Engineer role with a frontend center of gravity within the Engineering Platform team.

You will own the frontend domain, including the Micro Frontend strategy, platform-owned frontend frameworks, and shared frontend infrastructure, while operating across backend services, APIs, and cloud infrastructure. You will define and evolve architecture end-to-end, from browser experiences to backend services, while raising engineering standards across multiple teams.

Job Description and Requirements

Responsibilities

~2 min read

→Drive the design of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly.
→Own architecture and implementation while influencing execution across engineering teams.
→Resolve complex cross-organizational technical challenges through deep technical expertise, collaboration, and hands-on implementation.
→Provide technical direction across frontend, backend, and data layers.
→Collaborate with teams, peers, and principal engineers on architecture and system design.
→Partner with engineering teams to solve complex technical and business problems.
→Build AI-powered legal data solutions operating at massive scale.
→Drive engineering standards across multiple teams, including performance, scalability, reliability, and security.
→Conduct design reviews and code reviews while promoting best practices, patterns, documented standards, and coaching.
→Align technical execution with product strategy and delivery commitments.
→Identify and remove technical and operational friction.
→Mentor senior and lead engineers and influence technical decision-making and engineering culture.
→Own and evolve frontend platform architecture, including Micro Frontend strategy, platform-owned frontend frameworks, shared frontend infrastructure, and reusable component libraries.
→Enable modular and independently deployable frontend capabilities across product teams.
→Design and build backend services, APIs, and integration layers that support the frontend platform.
→Drive platform-wide backend engineering and infrastructure practices, including CI/CD, Infrastructure as Code, observability, reliability, and security.
→Drive consistency, accessibility (WCAG), and performance across the platform.
→Partner with UX teams on the evolution of the design system and component libraries.
→Establish frontend standards for testing, observability, and performance, including lazy loading, code splitting, caching, and CDN strategies.

10+ years of experience designing, building, and operating complex cloud-native distributed systems.
Demonstrated technical leadership across multiple teams or domains.
Strong background in architecture, security, and reliability at scale.
Ability to define technical direction and drive cross-team alignment.
Experience translating business goals into technical strategy.
Proven ability to influence without formal authority.
Strong mentorship and technical communication skills.
Deep frontend expertise in TypeScript and modern React.
Proven experience designing Micro Frontend architectures, module federation, and integration patterns at scale.
Experience with component versioning and shared dependency management.

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.

What We Offer

~1 min read

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:

340 000 and 510 000PLN

The 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.

Algorithms, Automation, Debugging, Distributed Systems, Performance Tuning, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership