Senior Fullstack Software Engineer I

What we're looking for

At SurveyMonkey, we are seeking a Senior Full-stack (Frontend & MLOps) Software Engineer who can contribute to both the product-facing frontend and the operationalization of machine learning models. In this role, you will design and implement user-friendly interfaces while also collaborating closely with data scientists and ML engineers to ensure models are deployed, monitored, and scaled effectively in production. This is a hands-on position where you'll work across the stack and help bridge the gap between user experience and ML infrastructure.

What you'll be working on

• Build and maintain responsive, reusable, and performant UI components.
• Work with designers and product managers to translate requirements into intuitive user experiences.
• Integrate frontend applications with APIs and ML-driven services.
• Ensure accessibility, security, and performance best practices in frontend code.
• Collaborate with data scientists to productionize ML models.
• Implement and maintain CI/CD pipelines for ML workflows.
• Contribute to model monitoring, data validation, and alerting systems.
• Support automation of model deployment, retraining, and versioning processes.Troubleshoot and resolve issues across ML infrastructure and frontend integrations.

We'd love to hear from people with

• 5 years of professional engineering experience, with exposure to both frontend and DevOps/MLOps domains.
• 3 years of ML engineering experience using Python 3 in backend development and AWS for model deployment/serving.
• Strong proficiency in frontend technologies (React, TypeScript, JavaScript, HTML, CSS).
• Familiarity with CI/CD pipelines, containers (Docker), and orchestration (Kubernetes).
• Understanding of MLOps concepts such as model deployment, monitoring, and lifecycle management.
• Hands-on experience with AWS.
• Strong collaboration skills and ability to work effectively with cross-functional teams.
• Good documentation skills.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from a SurveyMonkey office up to 1 day per week.
#LI - Hybrid