Staff Software Engineer

POSITION SUMMARY EarnIn seeks experienced, collaborative, resourceful staff-level engineers to join our product development teams. As a Staff Engineer, you will work cross-functionally with various teams and contribute to the design and development of new products. This role sits on our Growth engineering team, which owns EarnIn's member acquisition and onboarding experience, with a mission of making financial momentum accessible to more people by turning new members into engaged, trusting members of the EarnIn community. The base salary range for this full-time position is $252,000-$308,000 + equity + benefits. Our salary ranges are determined by role, level, and location. This hybrid position requires in-person work from our Mountain View HQ 2 days a week.

WHAT YOU'LL DO

• Drive the design & implementation of new features - break down complex problems into their bare essentials, translate this complexity into elegant design, and create high-quality, maintainable code.
• Make a meaningful impact in the lives of our community members.
• Design & deliver robust microservice integrations via REST/gRPC APIs using various communication, consistency, and coordination strategies.
• Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews.
• Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.
• Estimate and manage team project timelines and risks.
• Use AI tools to work effectively across our stack and accelerate design, implementation, and debugging.
• Care passionately about producing high-quality designs and code.
• Participate in hiring and onboarding for new team members.
• Lead cross-team engineering initiatives. WHAT WE'RE LOOKING FOR
• Bachelor's, Master's, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
• 7+ years of delivering value through software in a collaborative environment.
• Expertise in trade-off analysis for distributed architectures.
• Proficient in at least one modern programming language and the ability to understand more than one - we currently work in C# and Kotlin.
• Familiarity with the clean architecture approach.
• Experience with various data storage, including relational and document databases.
• Comfortable and experienced with AI-native development workflows and tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar) as part of your day-to-day engineering practice.
• Ability to work across the stack (e.g., backend, mobile, web) is a plus.
• Excellent written and verbal communication skills.
• Ability to thrive in a fast-paced, dynamic, result-driven environment.
• Being self-motivated and able to work independently with minimal supervision. #LI-Hybrid