Software Engineer - Full Stack

Summary

Join Relyance AI as a Software Engineer - Full Stack and build and maintain core systems for our Relyance product. This role demands a well-rounded engineer capable of balancing strategic thinking with practical execution to solve complex problems and deliver impactful solutions. You will tackle complex challenges, build tools and automate processes, partner with stakeholders, prioritize tasks, and collaborate with engineering teams. Continuous learning and improvement of full-stack development skills are essential. The ideal candidate possesses extensive backend system development experience, expertise in Python and related frameworks, and proficiency in various technologies. Relyance AI fosters a supportive and data-driven culture.

Requirements

• 4+ years of experience building complex backend systems, especially those handling intricate data
• Expert-level proficiency in Python, Django or FastAPI
• Proficiency in GraphQL and Rest API
• Proficiency in typeScript features like interfaces, generics, and modules to create scalable and maintainable front-end architectures
• 2+ years of experience building applications using a SQL or NoSQL database
• Strong understanding of data structures, algorithms, and object-oriented software design principles
• Ability to learn and work across the full-stack, from databases and APIs to the user interface
• A "get things done" attitude with a passion for collaboration and tackling challenges in a fast-paced environment

Responsibilities

• Tackle complex challenges and implement clean, pragmatic solutions
• Build tools and automate processes to streamline operations
• Partner with cross-functional stakeholders to design and build a robust, scalable, and flexible backend system
• Execute decisions to prioritize tasks, and balance immediate needs with long-term goals, all while collaborating effectively with other engineering teams
• Learn and improve your full-stack development skills across all layers, from databases and APIs to the user interface

Preferred Qualifications

• Experience with cloud infrastructure technologies
• Experience building user interfaces
• Experience building AI/ML products

Benefits

• We are committed to fair and equitable compensation practices
• We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location