Senior Software Engineer II – Data Solutions, Measurement

🕒 March 25

🇨🇿 Czechia – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 43%

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Logo of Cint

Cint

1001 - 5000 employees

Founded 2004

💼 Consulting

📣 Marketing

💰 Venture Round on 2016-01

Consulting • Marketing • Market Research

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.

📋 Description

• Design, implement, scale, and maintain the code that powers our production systems • Work on building the next generation of Cint products • Collaborate as part of the Measurement team • Innovate and push the limits of software engineering challenges

🎯 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 • Outstanding problem-solving and analytical skills • Enjoys working as part of a team and as a mentor • Experience with AWS, Docker, Kubernetes, SQL • Nice to have: Spring framework, microservices • Background in data analytics tools such as Spark, Hive, Databricks, or similar

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities

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