FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesApacheAWSCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesNoSQLPandasPySparkPythonSparkSpringSQL
About the role
Key responsibilities & impact- Design, implement, scale, and maintain backend systems processing 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 with the team
- Collaborate with data science and engineering colleagues on technical solutions
- Work independently with no supervision while ensuring timely, high-quality delivery
- Influence junior and mid-level engineers for approximately 20% of the time
- Communicate and work closely across the Outcomes, Methodology, and Recruitment teams and related product and data science areas
- Help build the next generation of Cint products and support world-class research
Requirements
What you’ll need- 10+ years of backend software engineering experience
- Strong technical depth
- Experience with Java or willingness to switch from another main language to Java
- Strong understanding of algorithms, data structures, Big O notation, and event-driven architecture
- Familiarity with Spark, Apache ecosystem tools, Delta Lake, Parquet, and Kafka
- 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
- Strong problem-solving skills and proactive, collaborative working style
- Ability to communicate well with engineers and data science partners
- Academic background in computer science, computer engineering, or a related field is preferred
- Experience with AWS, GCP, or other cloud providers is nice to have
- Experience with Pandas is nice to have
- Experience with Spring framework and microservices is nice to have
- Experience working in large-scale data or analytics environments is nice to have
Benefits
Comp & perks- Employees can work remotely
- Autonomy and freedom to innovate
- Collaborative development model
- Employee growth and development culture
- Diversity, equity and inclusion culture