Cint is hiring a Sr. Software Engineer II - (DSM Methodology Team)

The Team Cint Technology team is looking for a Senior Software Engineer to join the methodology team, which owns the core product customers interact with. This role is for a backend engineer who enjoys working on high-volume, performance-sensitive systems and complex technical challenges. The team works across two main areas: Recruitment, which consumes third-party survey responses and evaluates them with backend algorithms, and Lift, which is being migrated from HTTPS/API REST toward event-driven integrations. The broader platform is also moving from a legacy monolith toward a domain-based architecture. What You Will Do 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. Qualifications 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 Soft Skills: Strong problem-solving skills and a proactive, collaborative working style. Ability to communicate well with engineers and data science partners. Academic Background: Computer science, computer engineering or a related field is preferred. Nice to Have Experience with AWS, GCP or other cloud providers Experience with Pandas. Experience with Spring framework and microservices. Experience working in large-scale data or analytics environments.