Senior Software Engineer II

What we're looking for

This role reports to the Senior Engineering Manager for the Growth Platform team, which builds the experimentation, analytics, and data infrastructure powering every product decision at SurveyMonkey. You'll join a high-impact group of engineers focused on reliability, developer experience, and the next generation of intelligent data systems. You will help build intelligent infrastructure that enhances data quality, privacy, and the reliability of downstream analytics across the company. If you're excited to design foundational systems that power data-driven decision making, this is the opportunity to do it.

What you'll be working on

• Design, build, and operate large-scale backend and data systems that route and process hundreds of millions of events with high reliability, observability, and performance
• Develop intelligent data services that improve data quality, privacy, and trust, including validation, schema drift, and automated guardrails.
• Integrate AI capabilities into the platform using technologies such as Amazon Bedrock to power detection, anomaly monitoring, and insight generation.
• Drive technical excellence and mentorship by contributing to architecture reviews, improving developer experience, and helping the team adopt modern, reliable, and scalable engineering practices.
• Collaborate cross-functionally with data engineers, analysts, product managers, and other software engineers to design APIs, ensure clean data flows, and enable high-quality experimentation and analytics across the company.

We'd love to hear from people with

• 8+ years of experience designing, building, and operating large-scale backend or platform systems with a focus on reliability, performance, and observability.
• Strong proficiency in modern backend technologies, particularly , and familiarity with distributed, event-driven architectures (e.g., Kafka, Kinesis, Pub/Sub).
• Experience with data-quality and governance systems, such as schema validation, PII/drift detection, or event instrumentation at scale.
• Familiarity with AI and data systems. Comfortable using foundation-model APIs (e.g., Amazon Bedrock or Claude) to enable intelligent capabilities.
• A collaborative, product-minded engineer who communicates clearly across disciplines and mentors while balancing innovation with pragmatic delivery.

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