Relyance AI

Sr. Software Engineer, Full Stack

Canada

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Requirements

Candidates should have 6+ years of experience building complex backend systems, especially those handling intricate data. They must possess expert-level proficiency in Python, Django or FastAPI, and at least 2 years of experience building applications using a SQL or NoSQL database. A strong understanding of data structures, algorithms, and object-oriented software design principles is required, along with the ability to learn and work across the full-stack. Bonus points for experience with cloud infrastructure technologies, building user interfaces, or AI/ML products.

Responsibilities

The Sr. Software Engineer will be responsible for building and maintaining core systems, tackling complex challenges, and implementing pragmatic solutions. They will build tools, automate processes, and partner with stakeholders to design and build a robust, scalable, and flexible backend system. This role involves executing decisions to prioritize tasks, balancing immediate needs with long-term goals, and collaborating effectively with other engineering teams. The engineer will also learn and improve full-stack development skills across all layers, from databases and APIs to the user interface.

Skills

Python
Django
FastAPI
SQL
NoSQL
Data Structures
Algorithms
Object-Oriented Design
Backend Systems
APIs
User Interface
Cloud Infrastructure
AI/ML Products

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters
2020Year Founded
$60.3MTotal Funding
SERIES_BCompany Stage
Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Risks

Emerging competition from platforms like OneTrust and TrustArc.
Frequent updates needed due to evolving AI regulations increase costs.
Complex data privacy laws across jurisdictions challenge universal compliance.

Differentiation

Relyance AI uses machine learning for real-time data flow mapping.
The platform offers asset-level visibility and lineage for sensitive data.
Relyance AI integrates privacy compliance directly into code bases.

Upsides

Raised $32M in Series B funding, enhancing growth and innovation.
Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.
Growing demand for AI-driven compliance solutions supports market expansion.

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