Advanced Software Engineer

Relativity; Massachusetts; Hybrid; USD 103,000 - 155,000; Full time

Benefits offered by this job

Equity program

Total compensation package

Job summary

Relativity, a leading legal data technology company, seeks an Advanced Software Engineer to design, build, and operate AI-driven, scalable systems for processing large data volumes.

You will collaborate across teams to deliver cloud-native solutions on Azure/AWS, implement CI/CD, and drive reliability with automated testing and observability.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field OR equivalent experience.

Responsibilities

• Build and operate distributed search ingestion pipelines using Elasticsearch, including ILM and shard planning.

Skills

C#

Java

Python

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Azure

AWS

Job description

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.

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

WHAT YOU’LL DO

• 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

Required

WHAT WE’RE LOOKING FOR

• 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

Preferred

• 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

WHY WE COULD BE A GREAT FIT

• 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.

Compensation And Benefits

• 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 the 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