Staff Software Engineer – DSM Team

Cint

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

Posted 9/18/2026full-timeRemote • Spain, United KingdomLeadWebsite

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 focus on designing and maintaining high-performance systems. Proficient in event-driven architecture, API integrations, and cloud technologies, with strong problem-solving and collaboration skills.

Highest-signal resume keywords

Backend Software EngineeringJava ProgrammingEvent-Driven ArchitectureDockerAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AlgorithmsData StructuresBig O NotationPythonPySparkSparkSQLNoSQLREST APIsSpring Framework

Soft Skills

Problem-SolvingCollaborative Working StyleCommunication

Tools & Technologies

Apache Ecosystem ToolsDelta LakeParquetKafkaMicroservices

Industry Keywords

High-Volume SystemsReal-Time SystemsPerformance-Oriented EnvironmentsLarge-Scale DataAnalytics Environments

Tech Stack

Tools & technologies

ApacheAWSCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesNoSQLPandasPySparkPythonSparkSpringSQL

About the role

Key responsibilities & impact

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 with the team
Collaborate closely with data science and engineering colleagues on technical solutions
Work autonomously on complex problems and ensure timely, high-quality delivery
Influence junior and mid-level engineers
Communicate and work closely across Outcomes, Methodology, and Recruitment teams, as well as product and data science

Requirements

What you’ll need

10+ years of backend software engineering experience, with strong technical depth
Technology agnostic; willingness to switch main language to Java
Solid 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 a 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
Experience with Pandas
Experience with Spring framework and microservices
Experience working in large-scale data or analytics environments

Benefits

Comp & perks

Employees can work remotely
Autonomy and freedom to innovate
International, collaborative work environment
Employee growth and development culture
Diversity, equity and inclusion commitment