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Relativity ODA LLC seeks a senior software leader to design and operate cloud-native, distributed services handling vast data volumes. You will own architecture, guide execution across frontend, backend, and data layers, and mentor engineers to deliver scalable solutions.
Join a culture focused on transparency, innovation, and impact in legal tech, with emphasis on security, reliability, and performance at scale as you shape AI-powered data solutions.
Hybrid
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.
At Relativity, engineers do more than write code. They harness AI tools to architect, optimize, and deliver scalable software faster while shaping the future of legal technology. Engineers help industries uncover critical insights, ensure compliance, advance access to justice, and continuously evolve our platform using cloud-native architectures, AI capabilities, and modern developer tooling. Our AI helps power privacy programs, identify confidential information, and detect language indicating misconduct.
If you're passionate about solving hard problems, designing for scale, and building tools that matter while working in a culture that values transparency, innovation, and shared success, Relativity offers the opportunity to make a measurable difference in the marketplace
Drive the design of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly, owning architecture and implementation while influencing execution across engineering.
Resolve complex, cross-organizational technical problems through deep technical expertise, collaboration, and hands‑on implementation.
Provide technical direction across frontend, backend, and data layers, collaborating with teams, peers, and principal engineers on system design and architecture.
Collaborate closely with teams to solve complex technical and business problems and build AI‑powered legal data solutions that operate at massive scale.
Drive engineering standards across multiple teams, including performance, scalability, reliability, and security, through design and code reviews, patterns, best practices, documented standards, and coaching.
Align technical execution with product strategy and delivery commitments, identifying and removing technical and operational friction.
Mentor senior and lead engineers, shaping technical decision‑making and technical culture.
Build systems that help customers organize data, discover the truth, and act on it in high‑stakes legal matters.
Work on distributed, cloud‑native systems that process large volumes of data.
Build with AI, cloud platforms, and scalable architectures shaping legal tech.
Gain experience owning systems end‑to‑end across cloud and distributed environments.
Work in a team focused on knowledge sharing and continuous improvement.
Diverse perspectives create stronger teams and better outcomes.
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:
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.
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