Senior Fullstack Software Engineer I at SurveyMonkey

, , United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

186000.0

Posted On

06 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full-Stack Development, MLOps, Frontend Technologies, Python, AWS, React, TypeScript, JavaScript, HTML, CSS, CI/CD Pipelines, Docker, Kubernetes, Model Deployment, Monitoring, Collaboration

Industry

Software Development

Description

SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips. Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com. 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. The base pay provided for this position ranges from $124,000 / year - $186,000 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience. Bonuses and commissions may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution. While this role is remote, it may require in-person participation. You will be encouraged to attend company events throughout the year. These events will take place at a designated SurveyMonkey office or location. #LI-remote Why SurveyMonkey? We’re glad you asked At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the CHOICE Fund to help employees thrive in work and life. We’ve been trusted by organizations for over 25 years, and we’re just getting started. Our milestones include celebrating a quarter-century of curiosity with 25 acts of giving, opening new hubs in Costa Rica and India, crossing the threshold of 100 billion questions answered, and earning recognition as one of the Most Inspiring Workplaces across North America and Asia. We live our company values—like championing inclusion and making it happen—by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you. Our commitment to an inclusive workplace SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

Responsibilities

The Senior Full-stack Software Engineer will design and implement user-friendly interfaces while collaborating with data scientists and ML engineers to deploy and monitor machine learning models. This role involves building responsive UI components and integrating frontend applications with APIs and ML-driven services.