Key skills
PythonJavaC++CGoRubyScalaSQLNoSQLHaskellElixirPandasAnalyticsSparkKafkaSpringAWSDocker
About this role
Cint is a global software leader in technology-enabled digital insights and research technology. They are seeking a Senior Software Engineer to join the methodology team, focusing on backend systems that are write-heavy and critical to customer experience, ensuring reliability, scalability, and performance.
Responsibilities:
- 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
Requirements:
- 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, data structures, and Big O notation
- Experience with Python and/or PySpark
- Experience building or maintaining complex, high-volume systems
- Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro
- 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 latency systems
- Strong problem-solving skills and a proactive, collaborative working style
- Ability to communicate well with engineers and data science partners
- Background in computer science, computer engineering, or a related field is preferred
- Experience with AWS
- Experience with Pandas
- Experience with Spring framework and microservices
- Experience working in large-scale data or analytics environments