Python Software Engineer

CloudLinux

. Build pipelines that publish security advisories from vulnerability assessments and released fixes.

Posted 9/24/2026full-timeRemote • Portugal, Poland, Spain, SerbiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production software using Python, with a strong focus on automation, vulnerability assessment, and integration of APIs and services. Proficient in CI/CD processes, containerization, and relational data modeling.

Highest-signal resume keywords

Python Software DevelopmentLinux TroubleshootingAPI Design and IntegrationCI/CD and Deployment AutomationRelational Data Modeling and SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonDjangoDjango REST FrameworkCeleryRabbitMQGoAsynchronous ProcessingDistributed ProcessingSQLVulnerability Assessment

Soft Skills

Stakeholder CommunicationRequirements ClarificationPrioritization

Tools & Technologies

CI/CD ToolsContainersCommand-Line ToolsVulnerability Discovery ScannersAI Coding Agents

Industry Keywords

Vulnerability Data FormatsPackage EcosystemsDependency Metadata

Tech Stack

Tools & technologies

DjangoLinuxPythonRabbitMQSQLGo

About the role

Key responsibilities & impact

Build pipelines that publish security advisories from vulnerability assessments and released fixes.
Automate vulnerability assessment across large inventories of packages, versions, and dependencies across ecosystems.
Integrate vulnerability discovery scanners, reconcile their findings, and connect results to assessment and patching workflows.
Build and operate Python services, command-line tools, and internal interfaces for engineers assessing vulnerabilities, tracking patches, and managing releases.
Work directly with stakeholders to clarify requirements, agree priorities, and define how results will be verified.
Improve build and deployment automation, monitor production systems, and troubleshoot failures across services, containers, and data stores.
Review code and improve automated testing, security, and maintainability.
Use AI coding agents in day-to-day development, reviewing and testing the code they produce.

Requirements

What you’ll need

Experience building and maintaining production software in Python.
Strong Linux troubleshooting and production-debugging skills.
Experience designing and integrating APIs and services.
Experience with asynchronous or distributed processing.
Experience with CI/CD, containers, and build or deployment automation.
Solid relational data-modelling and SQL skills.
Experience with Python stack: Django, Django REST Framework, Celery, and RabbitMQ.
Experience building services or command-line tools in Go.
Experience with package ecosystems, dependency metadata, or vulnerability data formats such as OSV.

Benefits

Comp & perks

Work independently with a high level of ownership and autonomy.
Fully remote work with flexible working hours.
24 paid vacation days, 10 national holidays, and unlimited sick leave.
Private medical insurance compensation.
Co-working and gym/sports reimbursement.
Education budget.
Opportunity to receive a reward for innovative ideas that the company can patent.