Relativityposted 16 days ago
$150,000 - $224,000/Yr
Full-time • Manager
IL

About the position

Are you looking to be in a workplace where colleagues inspire one another, working together to build AI software solutions? We're looking for a Manager of Software Engineering to join our Relativity Privacy Engineering team. Come work with a dynamic group of talented professionals focusing on ML powered applications that power our Data Breach Response solution.

Responsibilities

  • Design, develop, and support our next-generation PII detection solution to run at scale using cutting-edge tools and frameworks
  • Lead the team to best-practice technical design, by example and through collaboration
  • Guide product improvements across schema, framework, and platform
  • Understand department-wide initiatives and guidelines, work with teams to ensure implementation is aligned with Engineering-wide policies and direction
  • Maintain a backlog of tools or technology enhancements to improve the maintainability and quality of the solutions
  • Encourage the team to work collaboratively by advising and enforcing best practices when needed
  • Stay up-to-date with technologies and best practices related to CI/CD tooling and developer productivity

Requirements

  • 6+ years of professional experience in software development
  • Strong computer science fundamentals in algorithms, data structures and computational complexity
  • A self-starter driven to make an impact
  • Strong Communications skills, experience leading teams
  • Proficiency in multiple programming languages, e.g: Java, C#, Python
  • Able to learn and provide guidance at multiple levels of the stack – from fine-granularity technical implementation to high level control- and data-flow
  • Able to consider the Engineering solution in the business context
  • Obsession with software quality and empathy for customer experience
  • In-depth technical understanding and experience with at least two of the following DevOps Platforms: GitHub, Azure DevOps, GitLab, and Jenkins
  • Fundamental knowledge of Kubernetes and container-based systems
  • Experience building AI-powered products that utilize Natural Language Processing or Machine Learning
  • Knowledge of Linux
  • Knowledge of NoSQL database systems such as MongoDB, Redis, Elasticsearch
  • Experience implementing redundancy and disaster recovery scenarios

Benefits

  • Competitive base salary
  • Annual performance bonus
  • Long-term incentives
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