O pozici
Cint is a global software leader in technology-enabled digital insights and research technology. The Cint platform automates the insights-gathering process so that companies can gain access to insights faster with unparalleled scale. Cint has one of the world’s largest consumer networks for digital survey-based research, made up of over 239 million engaged respondents across more than 130 countries. Over 4,600 insights-driven companies use Cint to accelerate how they gather consumer insights and supercharge business growth.
Co budeš dělat
- You will work on systems that are write-heavy, asynchronous, and critical to the customer experience. The product is Tier 1, so reliability, scalability, and performance are key.
- Design, implement, scale, and maintain backend systems that process large volumes of data.
- Work on event-driven and API-based integrations.
- Contribute to migration efforts toward a more domain-based and scalable architecture.
- Build and optimize software for performance-sensitive workflows.
- Investigate technical problems and propose solutions together with the team.
- Collaborate closely with data science and engineering colleagues on technical solutions.
- Participate in a collaborative development model where work is shared rather than handled alone.
Koho hledáme
- 10+ years of backend software engineering experience, with strong technical depth.
- We’re technology agnostic, so, you're more than welcome to switching your main language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby) to Java (core language)
- Solid understanding of algorithms (HashTables, Maps, etc.), data structures (Anomaly Detection, Dynamic Routing, etc.), Big O notation, Architecture (event-drive-architecture).
- Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro.
- Experience with Python and/or PySpark
- Experience building or maintaining complex, high-volume systems
- Experience with Docker, SQL, and NoSQL databases.
- Experience with REST APIs and event-driven integrations.
- Comfortable working in performance-oriented, production-critical environments with high-throughput & low talency systems
- Strong problem-solving skills and a proactive, collaborative working style.
- Ability to communicate well with engineers and data science partners.
- Computer science, computer engineering or a related field is preferred.
Benefity
- We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.
