Senior Software Engineer

🕒 July 28

🇮🇹 Italy – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SurveyMonkey

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🤝 B2B

SaaS • B2B

SurveyMonkey is an online survey and forms platform that lets organizations and individuals build, send, and analyze surveys to collect feedback and insights. The platform offers 500+ templates, AI-assisted survey creation, a global audience panel of 335M+ respondents, analytics and integrations, and enterprise-grade features for secure, large-scale survey programs. It’s used across customer experience, employee feedback, market research, event registration, and more; the company markets itself as a continuous insights/SaaS platform serving 260K+ organizations worldwide.

📋 Description

• Build and maintain robust ML systems using Python (Pandas/NumPy, PyTorch/transformers) to support efficient ML operations. • Design ML cloud infrastructure using AWS services, ensuring the platform is built for reuse, scalability, and high-volume throughput. • Collaborate with application engineers to integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture. • Act as a consultant to internal feature teams, educating and influencing decisions regarding ML tooling and infrastructure. • Incorporate telemetry into the platform for complex failure mode analysis, ensuring real-time reliability for millions of daily survey responses. • Serve as a technical leader and mentor, championing high standards in coding, documentation, and architectural best practices to foster the professional growth of junior engineers on the MLP team.

🎯 Requirements

• 8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS. • Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP. • Expert-level Python skills and experience with high-scale data processing (PySpark, etc.). • Comfortable with Unix/Linux systems and experienced in deploying end-to-end solutions for real-time applications (spam detection, personalization, ranking). • Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.

🏖️ Benefits

• Flexible working hours • Professional development opportunities