Python Software Engineer

• 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.

• 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.
• Advanced hands-on experience using coding agents for real engineering tasks, including delegating substantial work, providing context and constraints, supervising autonomous execution, and independently reviewing, debugging, testing, and validating agent-generated output.

• 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.

TuxCare offers a comprehensive portfolio of security solutions for Linux and open-source software designed for enterprise organizations.

With TuxCare, companies can automate vulnerability patching, minimize downtime, maintain security and compliance, and rely on deep expertise in Linux and open-source security.

Our solutions cover widely used Linux distributions, end-of-life systems, open-source software ecosystems, and other critical infrastructure.

Learn more at: https://tuxcare.com/ / https://tuxcare.com/endless-lifecycle-support/

For this role, it is critical that you have experience owning production systems end to end - from clarifying requirements directly with stakeholders to designing, implementing, deploying, and operating solutions. You will work across existing services and tools, improving reliability, simplifying workflows, and verifying results in production.

• 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.