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Posting Type
Hybrid/Remote
Job Overview
WHO 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. 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.
ABOUT THE ROLE
As an Advanced Software Engineer on the Discovery team, you will design, build, and operate the next generation of AI-driven, scalable, high-performance systems that process large volumes of data. This role combines deep technical expertise with a collaborative mindset to solve complex challenges while delivering secure, cloud-native solutions.
Job Description and Requirements
- Build and operate distributed search ingestion pipelines using Elasticsearch, including index lifecycle management (ILM), shard capacity planning, and rollover policies at scale across large workspace environments
- Build and maintain message-based consumer services for high-volume document ingestion with robust failure handling, retry policies, and observability
- Partner with architects and tech leads to implement cloud-native solutions on Azure using containerization technologies such as Docker and Kubernetes along with modern CI/CD workflows
- Drive reliability improvements, including pre-flight capacity checks, error classification, and automated recovery from cluster-level failures
- Contribute to team quality through pair programming, code reviews, and clear technical documentation
- Champion automated testing, static analysis, observability, and DevOps practices to ensure performance and reliability
- Collaborate with senior engineers and architects in design sessions and elevate team engineering practices
- Use AI-assisted coding tools to accelerate development and reduce boilerplate work
- Build tools and automation to streamline workflows across engineering disciplines
- Collaborate with product managers and engineers to deliver high-quality features
- Bachelor’s degree in Computer Science, Engineering, or related field OR equivalent experience
- 3+ years of experience in software engineering with a focus on distributed systems
- Proficiency in programming languages such as C#, Java, or Python
- Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies
- Strong understanding of software design principles and performance optimization
- Ability to work collaboratively in a team environment and communicate effectively
- Experience with Elasticsearch, including index templates, ILM policies, bulk API, shard management, and cluster capacity planning
- Familiarity with message-based or event streaming platforms for building high-throughput, reliable data pipelines
- Experience with big data technologies such as Spark
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of observability tools and best practices for system reliability
- 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:
$103,000 and $155,000The 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, TroubleshootingSkills Required
- Bachelor's degree in Computer Science, Engineering, or related field OR equivalent experience
- 3+ years of experience in software engineering with a focus on distributed systems
- Proficiency in programming languages such as C#, Java, or Python
- Experience with cloud platforms (Azure, AWS) and containerization technologies (Docker, Kubernetes)
- Strong understanding of software design principles and performance optimization
- Ability to work collaboratively in a team environment and communicate effectively
- Engineering principles; hardware integration; problem solving; process improvements; quality assurance (QA); research and development; system design; technical documentation; troubleshooting
- Experience with Elasticsearch (index templates, ILM policies, bulk API, shard management, cluster capacity planning)
- Familiarity with message-based or event streaming platforms for high-throughput, reliable data pipelines
- Experience with big data technologies such as Spark
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of observability tools and best practices for system reliability
Relativity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Relativity and has not been reviewed or approved by Relativity.
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Leave & Time Off Breadth — Time off options include discretionary time off and two company‑wide breaks each year, providing additional recharge time.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans, telehealth access, and wellness resources such as a Headspace subscription.
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Parental & Family Support — North America offers up to 12 weeks of fully paid parental leave, with comparable regional programs in EMEA and APAC.
Relativity Insights
What We Do
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it. Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.
Why Work With Us
We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.
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