Senior Software Engineer II – Data Solutions and Measurement

August 30

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Logo of Cint

Cint

Market Research • B2B • SaaS

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

1001 - 5000 employees

Founded 2004

🤝 B2B

☁️ SaaS

💰 Venture Round on 2016-01

📋 Description

• The Team: The Cint Technology team is looking for a Senior Software Engineer II to join our international Measurement team. • In this role, you will design, implement, scale, and maintain the code powering production systems. • With great freedom to innovate, you will play a key role in world-class research building the next generation of Cint products. • Qualifications include 5+ years backend software development experience, degree in Computer Science or related field, proficient in Java and Python, CI/CD pipelines, API integration, and data analytics tools such as Spark, Hive, Databricks; AWS, Docker, Kubernetes, SQL; plus Spring/microservices as nice-to-have.

🎯 Requirements

• 5+ years of hands-on professional backend software development experience • Degree in Computer Science or related field • Proficient programming skills in Java • Comfortable maintaining Python code • Familiarity with CI/CD pipelines and testing frameworks • Experience with API integration • Comfortable dealing with system complexity • Great sense of ownership • Background in data analytics tools such as Spark, Hive, Databricks, or similar • Experience with AWS, Docker, Kubernetes, SQL • Nice to have: Spring framework, microservices

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