Staff Software Engineer – DSM

Cint

Staff Software Engineer at Cint developing scalable backend systems for data solutions and integrations. Designing, implementing, and maintaining high-quality code for production systems.

Posted 7/15/2026full-timeRemote • CzechiaLeadWebsite

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 data processing technologies and collaborative problem-solving within cross-functional teams.

Highest-signal resume keywords

Backend Software EngineeringPython ProgrammingData Processing ToolsREST APIsEvent-Driven Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AlgorithmsData StructuresBig O NotationHigh-Volume SystemsPerformance OptimizationDockerSQLNoSQLPySparkApache Kafka

Soft Skills

Problem-SolvingCollaborative Working StyleCommunication Skills

Tools & Technologies

SparkApache EcosystemDelta LakeParquetAvro

Industry Keywords

Event-Driven IntegrationsDomain-Based ArchitecturePerformance-Critical Environments

Tech Stack

Tools & technologies

ApacheDockerElixirGoHaskellJavaKafkaNoSQLPySparkPythonRubyScalaSparkSQL

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 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.

Requirements

What you’ll need

10+ years of backend software engineering experience, with strong technical depth.
We’re technology agnostic, so, you're more than welcome to switch your main language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc...) to Java (our 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, 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 with high-throughput & low talency systems
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

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities