Developer, Backend

Details

• You have 2+ years of experience in software development with proficiency in Golang
• A drive for and proven experience in software development best practices, and coding standards
• You enjoy solving moderately complex problems with a demonstrated ability to tackle problems and propose effective solutions
• You like communicating and collaborating and can demonstrate experience in working effectively with team and communicating technical concepts to non-technical cross-functional partners
• You’re passionate about testing methodologies and debugging techniques to ensure high-quality code
• Experience with Kotlin, Swift, Rust, JavaScript, or related languages. Or a demonstrated ability to pick up new languages quickly.
• Code, test, debug, deliver and maintain production software systems for new and existing product features
• Collaborate with cross functional teams and/or stakeholders throughout the development cycle to ensure smooth releases
• Work with your teammates and project manager to communicate technical requirements to stakeholders and solve technical problems in a scalable and realistic way
• Mentor junior and new team members by helping them understand team expectations, providing technical guidance, sharing knowledge, and engaging in pair programming sessions
• Participate in planning by identifying major tasks and breaking down, estimating, and planning work
• Write comprehensive tests during various stages of the development cycle, ensuring code is functioning as expected
• Review code for others to maintain high code quality, knowledge share within the team, and support creating a safe environment of giving and receiving feedback
• Generate and review documentation on code processes to ensure scalability
• Stay informed about the latest industry trends, technologies, and best practices in development
• Be available for on-call rotational work to ensure uninterrupted support and resolve emergenciesHow we’re using AI todayOur Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.