Lead Software Engineer

Relativity; Baltimore (MD); Hybrid; USD 150,000 - 224,000; Full time

Job summary

A leading AI software solutions provider is seeking a Lead Software Engineer for their Privacy Engineering team in Baltimore. The role involves designing and developing a next-generation PII detection solution, guiding product improvements, and collaborating with teams to implement best practices. Candidates should have over 6 years of software development experience and proficiency in programming languages like Java, C#, and Python.

Benefits

Competitive base salary

Annual performance bonus

Long-term incentives

Qualifications

• 6+ years of professional experience in software development.
• Strong computer science fundamentals in algorithms and data structures.
• Experience with Kubernetes and container-based systems.

Responsibilities

• Design, develop, and support next-generation PII detection solution.
• Lead the team to best-practice technical design.
• Maintain a backlog of tools for technology enhancements.

Skills

Software development

Team leadership

Communication skills

Programming languages (Java, C#, Python)

DevOps platforms (GitHub, Azure DevOps)

Natural Language Processing

NoSQL databases (MongoDB, Redis, Elasticsearch)

Job description

Overview

Hybrid

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 Lead Software Engineer 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.

Job Description and Requirements

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

Qualifications

• 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

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 $150,000 and $224,000. 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.