Our ideal candidate will have 20% of the time influencing junior/mid-level engineers and 80% focused on complex problems.
This candidate considers themselves among the highly technical and likes to push the limits of their knowledge and experience every day.
In this role, you will work on designing, implementing, scaling, and maintaining the code that powers our production systems.
You will work with no supervision, ensuring timely and high-quality delivery.
You will communicate and work closely across 3 teams (Outcomes, Methodology & Recruitment) and with related areas like product and data science.
With great autonomy and freedom to innovate, you will play a key role in world-class research building the next generation of Cint products.
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.

10+ years of backend software engineering experience, with strong technical depth.
We’re technology agnostic, so, you're more than welcome to switch your main language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc...) to Java (our 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, real-time, high-volume systems with high-throughput and low-latency
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.
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.

Staff Software Engineer – Data Solutions, Measurement

Key skills