Staff Software Engineer – DSM Team

Cint

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive backend software engineering expertise with a focus on designing and maintaining high-performance systems. Proficient in event-driven architecture and capable of collaborating effectively with cross-functional teams to deliver scalable solutions.

Highest-signal resume keywords

Backend Software EngineeringEvent-Driven ArchitecturePython and/or PySparkDocker and SQLAWS or GCP Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AlgorithmsData StructuresBig O NotationHigh-Volume SystemsREST APIsMicroservicesSparkApache Ecosystem ToolsDelta LakeKafka

Soft Skills

Problem-SolvingProactive CollaborationEffective Communication

Tools & Technologies

DockerSQLNoSQL DatabasesPandasSpring Framework

Industry Keywords

Performance-Oriented EnvironmentsProduction-Critical EnvironmentsLarge-Scale DataAnalytics Environments

Tech Stack

Tools & technologies

ApacheAWSCloudDockerGoogle Cloud PlatformKafkaMicroservicesNoSQLPandasPySparkPythonSparkSpringSQL

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 independently with no supervision while ensuring timely, high-quality delivery
Influence junior and mid-level engineers for approximately 20% of the time
Collaborate across the Outcomes, Methodology, and Recruitment teams and with product and data science

Requirements

What you’ll need

10+ years of backend software engineering experience
Strong technical depth
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
Proactive, collaborative working style
Ability to communicate effectively with engineers and data science partners
Computer science, computer engineering, or related field preferred
Experience with AWS, GCP, or other cloud providers preferred
Experience with Pandas preferred
Experience with Spring framework and microservices preferred
Experience in large-scale data or analytics environments preferred

Benefits

Comp & perks

Employees can work remotely
Autonomy and freedom to innovate
Collaborative development model
Employee growth and learning culture
Diversity, equity and inclusion
Recognition as a 2025 Global Top 100 Most Loved Workplace