Senior Software Engineer

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Software EngineerSoftware Engineering

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Quick Summary

Overview

Posting Type Hybrid/Remote Job OverviewWHO WE ARERelativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth,

Technical Tools

Software EngineerSoftware Engineering

Posting Type

Hybrid/Remote

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 do more than write code - they build systems that enable users to uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools.
You will join Relativity’s Data Transfer group, a high-impact engineering team within the Ingestion Department. The team builds and scales infrastructure that powers secure, reliable, and high-throughput data movement across the RelativityOne SaaS platform.

ABOUT THE ROLE
As a Senior Software Engineer, your primary mission will be to design, write, test, deploy, and support Relativity software products. You will work within a Scrum team, collaborating with Advanced, Senior, Lead, and Staff engineers as well as business stakeholders to develop products, features, and services that evolve the RelativityOne SaaS offering.

Job Description and Requirements

Responsibilities

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Contribute to a Scrum team across all phases of the service lifecycle, including conception, design, development, testing, deployment, and operations
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Design and architect performant, scalable, and secure software with a strong focus on quality beyond basic requirements
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Apply object-oriented analysis, design, and programming principles, including SOLID principles and established design patterns
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Provide technical guidance to the development team to deliver high-quality, secure, and scalable software operating on large datasets
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Participate in code reviews to ensure quality and maintainability
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Develop and execute unit, integration, and static testing strategies
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Apply practical knowledge of AI-assisted SDLC frameworks and best practices
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Improve software development processes by recommending and driving changes
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Identify and automate repetitive processes and tasks
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Contribute to and enhance automated CI/CD deployment and upgrade workflows
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Use monitoring and observability tools to proactively identify and resolve issues
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Improve software quality and completeness while sharing knowledge across the team
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Troubleshoot issues, fix defects, and respond to client-specific problems
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Provide guidance and coaching to team members through knowledge sharing
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Participate in on-call support rotations (second-line support) after gaining relevant experience
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Support a learning culture and promote a healthy, collaborative work environment

Bachelor’s degree in computer science, engineering, or related field, or equivalent experience
At least five years of experience developing commercial-grade software using C# or related object-oriented languages such as Java or C++
Strong experience with SaaS systems, including multi-tenant architecture, subscription lifecycle, and operational support
Deep understanding of observability and telemetry, including distributed tracing, metrics, logging, alerting, and incident response
Strong software engineering fundamentals, including unit testing, code reviews, design documentation, and debugging
Experience with cloud DevOps practices and CI/CD tools (e.g., GitHub Actions, Harness, LaunchDarkly)
Experience working in agile teams, including mentoring, feature leadership, and cross-team collaboration
Experience with observability tools such as New Relic or Splunk
Fluency in English

Nice to Have

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Experience working with large-scale, distributed systems and data-intensive platforms
Exposure to AI-assisted development tools and frameworks
Experience improving engineering processes and automation in cloud-native environments

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

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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 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.

Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership