Posting Type
Hybrid
Job Overview
Are you looking to be in a workplace where colleagues inspire one another, working together to build AI software solutions?Job Description and Requirements
Job Responsibilities
Architect, design, and develop model-based applications
Guide product improvements across schema, framework, and platform
Lead the team to best-practice technical design, by example and through collaboration
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 teams to work collaboratively by advising and enforcing best practices when needed
Stayup-to-datewith technologies and best practices related to CI/CD tooling and developer productivity
Qualifications
2+ years of professional experience delivering successful SaaS products.
5+ years of professional experience in software development
Strong computer science fundamentals in algorithms, datastructuresand computational complexity
A self-starter driven to make an impact
Strong Communications skills, experience leading teams
Proficiencyin multiple programming languages,e.g: Java, Python, C#
Able to learn at multiple levels of the stack - from fine-granularity technical implementation to high level control- anddata-flow.
Comfortable working from Specifications to create a Technical Approach and scoping work
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
Experience implementing redundancy and disaster recovery scenarios
Nice to Have
Experience building AI-powered products that use Natural Language Processing or Machine Learning
Knowledge of Linux
Knowledge of NoSQL database systems such as MongoDB, Redis, Elasticsearch
Fundamental knowledge of Kubernetes and container-based systems
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:
$126,000 and $190,000The 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.
Suggested Skills:
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