Note: The job is a remote job and is open to candidates in USA. Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. As an Advanced Software Engineer on the Discovery team, you will design, build, and operate AI-driven, scalable systems that process large volumes of data while collaborating with architects and tech leads to implement cloud-native solutions.

Responsibilities

• 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

Skills

• 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

Benefits

• Benefits
• DTO
• Parental leave
• Equity program
• Annual performance bonus
• Long-term incentives

Company Overview

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