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Posting Type
Hyrbid
Job Overview
We're seeking an experienced Software Engineering Manager to lead the teams responsible for our core data processing services. In this role, you'll oversee the systems that transform petabytes of raw collected data into structured, searchable information that our customers rely on to navigate complex legal matters. Your teams will build and maintain services where speed, reliability, and accuracy are non-negotiable—these systems are mission-critical to our customers' workflows and handle massive scale daily.Job Description and Requirements
Key Responsibilities:
Oversee design, development, and operation of the Processing Discover services with a focus on reliability, scalability, and security.
Drive modernization initiatives, including migration to microservices and adoption of cloud-native technologies.
Set technical direction, drive engineering standards, and establish operational processes.
Contribute to the product roadmap and use it to guide team priorities, execution, and backlog decisions.
Mentor and develop engineering talent, fostering a strong operational mindset and domain expertise.
Required Qualifications:
Experience managing engineering teams responsible for mission-critical, high-throughput, low-latency cloud services.
Solid foundational knowledge in software engineering fundamentals, including system design, object-oriented programming, data structures, algorithms, and microservice architectures.
Experience building scalable, fault-tolerant distributed systems in a public cloud environment.
Strong operational skills with a focus on automation, observability, metrics driven decision making, and rapid incident responsiveness.
Ability to quickly learn and lead in a complex, domain-specific technical environment.
Experience leading teams using Scrum or other agile development frameworks.
Preferred Backgrounds:
Track record of modernizing legacy or monolithic architectures to microservices.
Experience managing remote teams or distributed team members.
Familiarity with cloud computing, big data, and data engineering technologies (e.g., Temporal, Spark, Azure Data Lake Storage).
Familiarity with CI/CD pipelines and DevOps practices.
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:
$155,000 and $233,000The 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:
Budget Management, Engineering Management, Innovation, Leadership, Performance Management (PM), Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Stakeholder Management
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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