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At Relativity, we build technology that helps people uncover the truth in complex data. Our software (SaaS) empowers legal professionals, governments, and organizations around the world to navigate high stakes matters with confidence, clarity, and integrity. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. Every role at Relativity contributes to creating scalable, secure, and intelligent solutions with real-world impact—while fostering a culture where curiosity, collaboration, and inclusion thrive and where employees help shape the future of legal technology.
As a 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 and operating secure, scalable, and high-performance cloud-native solutions.
Responsibilities:
* Design, develop, and operate secure, maintainable, and scalable web applications using object-oriented principles, modern architecture, and cloud-native patterns.
* Drive team success through pair programming, thoughtful code reviews, shared design sessions, and high-quality documentation.
* Champion automated testing, static analysis, observability, and DevOps workflows to ensure performance and reliability.
* Adopt AI-assisted coding tools (e.g., Copilot, Cursor) to accelerate development, reduce boilerplate, and focus on solving business-critical problems.
* Build tools and automation to streamline workflows across engineering disciplines.
* Participate in on-call rotations to troubleshoot and resolve production issues promptly.
* Collaborate with product managers and other engineers to deliver high-quality features.
Minimum Qualifications:
* Bachelor’s degree in Computer Science, Engineering, or related field OR equivalent experience.
* 0-2 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 Qualifications:
* Experience with big data technologies (e.g., Kafka, Spark).
* Familiarity with CI/CD pipelines and DevOps practices.
* Knowledge of observability tools and best practices for system reliability.
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development