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.
What You Will Do
- 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 micr