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Advanced Software Engineer

Relativity · IL · Full time

Posted Aug 28, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Relativity says its engineers use AI tools to design and ship software faster. How do you use AI coding tools today, and where do you not trust them?

What they are checking: Whether they use AI assistance with judgment, checking its output rather than shipping whatever it writes.

Tell me about a cloud-native service you built that had to handle large amounts of data. What were the hard parts?

What they are checking: Whether they have real experience with scale, which matters on a platform processing huge legal data sets.

Tell me about a time you disagreed with a technical decision on your team. What happened?

What they are checking: Whether they can push back with reasons and then commit once a decision is made.

How have you helped newer engineers on your team grow?

What they are checking: Whether they act as a technical leader at the advanced level, not just an individual contributor.

What would you do

RelativityOne holds sensitive legal data for law firms and government agencies. How does that change how you write and review code?

What they are checking: Whether they treat security and data isolation as part of everyday engineering, not someone else's job.

You find a bug that could have shown a user documents they should not see. What do you do?

What they are checking: Whether they escalate a possible data exposure immediately and transparently instead of quietly patching it.

About the work

How would you design a service that processes millions of documents for a litigation matter without losing any?

What they are checking: Whether they think about durability, retries and idempotency where losing a single document has legal consequences.

Walk me through how you would find the cause of a slow API endpoint in production.

What they are checking: Whether they use metrics, traces and logs systematically rather than guessing at fixes.

How do you decide how much testing a change needs before it goes out?

What they are checking: Whether they match testing to risk, which matters when accuracy is critical for customers.

How do you approach breaking a large legacy component into smaller services?

What they are checking: Whether they can modernize carefully without disrupting customers relying on the existing system.

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The full job description

As published by Relativity.

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’re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change. What We Do At Relativity, engineers don’t just write code— they harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. They shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We’re reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. If you’re passionate about solving hard problems, designing for scale, and building tools that matter. Relativity offers the opportunity to make a measurable difference in the marketplace. Job Description and Requirements • Design, develop, and operate cloud-based services that enable organizations to manage and process data at scale across multiple platforms • Build full-stack features across .NET/C# backend services, React/JavaScript frontends, and SQL data layers to support core product workflows • Build and maintain integrations with external systems and internal platform services, including third-party cloud data sources, notification providers, and cross-team APIs • Plan and execute service and data migrations safely, including schema changes, deployment progressions, and feature transitions in a live production environment • Apply cloud-native patterns - containerization, event-driven architecture, and infrastructure-as-code - to deliver scalable and resilient services on Azure • Manage and troubleshoot CI/CD pipelines (Azure DevOps, GitHub Actions) and drive independent deployments across team-owned services • Use observability tooling - structured logging, metrics dashboards, and distributed tracing - to investigate production issues and advocate for system improvements • Triage and remediate security vulnerabilities as part of the team's ongoing security posture work • Participate in on-call rotations, contribute to incident response, and complete follow-up work to drive continuous improvement • Collaborate cross-functionally with engineers, product managers, and adjacent teams to deliver committed sprint work on a regular cadence WHAT WE'RE LOOKING FOR Required • Bachelor's degree or equivalent practical experience • 3+ years of professional software engineering experience • Proficiency in C# and .NET, or a comparable object-oriented language with willingness to ramp on the stack • Experience building and operating cloud-based services • Ability to work independently through complex features and debug production issues with minimal direction • Familiarity with relational databases and SQL, including schema change management Preferred • Experience with JavaScript/TypeScript and React for full-stack development • Working knowledge of CI/CD pipeline tooling (Azure DevOps, GitHub Actions, or similar) • Familiarity with observability platforms such as New Relic, Splunk, or equivalent APM/logging tooling • Exposure to authentication patterns (OAuth2, OIDC, or SAML) in enterprise SaaS applications • Experience building or maintaining integrations with third-party APIs or enterprise SaaS systems • Familiarity with cloud-native concepts such as containerization, event-driven design, or infrastructure-as-code (Azure preferred) 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: $103,000 and $155,000 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. Required Skills: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

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