Senior Full-Stack Engineer
MercuryFull Time
Junior (1 to 2 years)
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.
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.
Data protection and privacy compliance platform
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.