Staff Software Engineer – DSM Team

Cint

. Design, implement, scale, and maintain backend systems processing large volumes of data .

Posted 9/18/2026full-timeRemote • Spain, CzechiaLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive backend software engineering expertise with a strong focus on designing and maintaining high-performance systems. Proficient in event-driven architecture, API integrations, and collaborative problem-solving within cross-functional teams.

Highest-signal resume keywords

Backend Software EngineeringJava ProgrammingEvent-Driven ArchitectureReal-Time SystemsDocker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AlgorithmsData StructuresBig O NotationPythonPySparkSQLNoSQL DatabasesREST APIsSparkApache Ecosystem Tools

Soft Skills

Problem-SolvingCollaborative Working StyleEffective Communication

Tools & Technologies

DockerAWSGCPPandasSpring FrameworkMicroservices

Industry Keywords

High-Volume SystemsPerformance-Oriented EnvironmentsData Science CollaborationDomain-Based ArchitectureAnalytics Environments

Tech Stack

Tools & technologies

ApacheAWSCloudDockerGoogle 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 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
Work autonomously to ensure timely, high-quality delivery
Influence junior and mid-level engineers for approximately 20% of the role
Collaborate across Outcomes, Methodology & Recruitment teams and with product and data science
Help build the next generation of Cint research technology products

Requirements

What you’ll need

10+ years of backend software engineering experience
Strong technical depth
Willingness or ability to switch programming languages 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
Comfort working in performance-oriented, production-critical environments
Strong problem-solving skills and proactive, collaborative working style
Ability to communicate effectively with engineers and data science partners
Academic background in computer science, computer engineering, or a related field preferred
Nice to have: AWS, GCP or other cloud providers
Nice to have: Pandas
Nice to have: Spring framework and microservices
Nice to have: large-scale data or analytics environments

Benefits

Comp & perks

Remote work arrangement
Autonomy and freedom to innovate
Collaborative development model
Employee growth and a culture of trust and respect
Diversity, equity and inclusion-focused culture