Senior Full Stack Software Engineer, Super

• 4+ years of professional software development experience, including at least 2+ years working with Python or Node.js on the backend and 2+ years working with a modern frontend JavaScript framework such as React, Vue, or Angular
• Experience building web services and working with modern web technologies, with comfort tackling system design challenges appropriate to the senior level
• Actively using AI in your development workflow today, including for coding, debugging, and system design, and can guide, validate, and iterate on AI-generated output with strong engineering judgment
• Comfortable contributing across both backend and frontend parts of the stack, with the balance influenced by business needs and individual strengths or interests
• Thrives in a startup environment, with comfort moving quickly, using data to inform decisions, wearing multiple hats, and continuously learning
• Strong communicator who works effectively on an agile team and contributes to standups, sprint ceremonies, quarterly planning, and collaboration with internal and external stakeholders
• Demonstrates strong ownership and follow-through, with the ability to drive complex projects end-to-end
• Experience mentoring more junior developers

Desirable

• As a Senior Full-Stack Engineer, you will be a senior technical contributor on one of our teams, working across both frontend and backend web development
• You will help solve complex technical challenges, build product features for our fintech, travel, and/or SuperApp experiences, and contribute to the services and frameworks that power them
• You will primarily work with React on the frontend and a combination of Python and Node.js microservices on the backend. You will also work with technologies such as GitLab, AWS, Docker, Postgres, Redis, Datadog, Amplitude, Snowflake, Hotjar, LogRocket, Material UI, and Figma
• You will operate in an AI-forward engineering environment where AI is a core part of how we design, build, and iterate on software. Engineers are expected to actively use AI in their development workflow and apply strong judgment in guiding, validating, and refining AI-assisted solutions
• This role reports to an Engineering Manager, Senior Engineering Manager, or Director. From the Senior Software Engineer level, there is opportunity to grow along the IC path into Staff Software Engineer, or into Engineering Management over time
• Ship projects end-to-end in a fast-paced, iterative, AI-forward environment, using AI tools to accelerate development, debugging, and iteration while maintaining ownership of the solution
• Build and operate features and services across the stack, including deployment, monitoring, debugging, testing, and working with supporting data stores such as caches and databases
• Tackle complex technical problems and contribute to system design and implementation decisions across the team’s domain
• Uphold engineering quality through thoughtful code review and strong implementation standards
• Mentor and support more junior engineers through feedback, collaboration, and day-to-day technical guidance
• Partner on cross-functional initiatives, collaborate with internal and external stakeholders, and help shape the roadmap for future team projects
• Work in a data-driven way and stay close to the customer, using experiments and measurement to inform what we build and improve
• See the direct impact of your work on the business and user experience in a company where engineering execution meaningfully moves key outcomes
• Share responsibility for the operational health of production services, including participation in an on-call rotation
• Note: On-call is a part of this role. Rotations are weekly and compensated for each rotation per the company’s on-call compensation policy. Participation may be voluntary or required depending on team and staffing needs
• Ur product platform is built on a modern microservices architecture using Node.js and Python services with a React frontend
• We use Postgres for primary storage, Redis for caching, and Snowflake for our data warehouse
• Our infrastructure runs on AWS, leveraging technologies such as Kubernetes and RDS, with GitLab supporting version control and CI/CD
• We invest heavily in reliability and observability using Datadog for monitoring and automated alerting, and use Amplitude for client-side analytics and experimentation
• Our frontend stack includes Material-UI alongside an internal component library, with Figma supporting design collaboration
• Our platform integrates with a variety of third-party services to support compliance, risk management, and security requirements
• As an AI-First engineering organization, we also leverage modern AI development workflows using tools such as Cursor, Claude, and internally built AI agents to accelerate implementation and iteration across our codebases