
51 - 200 employees
đ Cybersecurity
âïž SaaS
đ€ B2B
Cybersecurity âą SaaS âą B2B
TuxCare is a cybersecurity company that provides enterprise-grade open source supply chain security, long-term lifecycle support, and non-disruptive patching for Linux and language ecosystems. Its products include SecureChain (rebuilt, malware-scanned, continuously patched open-source packages), KernelCare (rebootless kernel patching), LibCare (rebootless patching for OpenSSL and glibc), and Endless Lifecycle Support (ELS) for operating systems, runtimes, and language ecosystems. TuxCare also offers enterprise support for community Linux distributions, custom kernel development, compliance-focused tooling (SBOM, VEX, SLSA attestations), and solutions aimed at healthcare, finance, government, and other regulated sectors.
đ„ 31 minutes ago
đ Poland, Portugal, +3 more countries â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ§âđ» Full-stack Engineer
đ» Ghost score 15%
Where this job comes from
Posted on TuxCare's careers page, not through a job board
First seen by Remote Rocketship 31 minutes ago

51 - 200 employees
đ Cybersecurity
âïž SaaS
đ€ B2B
Cybersecurity âą SaaS âą B2B
TuxCare is a cybersecurity company that provides enterprise-grade open source supply chain security, long-term lifecycle support, and non-disruptive patching for Linux and language ecosystems. Its products include SecureChain (rebuilt, malware-scanned, continuously patched open-source packages), KernelCare (rebootless kernel patching), LibCare (rebootless patching for OpenSSL and glibc), and Endless Lifecycle Support (ELS) for operating systems, runtimes, and language ecosystems. TuxCare also offers enterprise support for community Linux distributions, custom kernel development, compliance-focused tooling (SBOM, VEX, SLSA attestations), and solutions aimed at healthcare, finance, government, and other regulated sectors.
âą Build pipelines that publish security advisories from vulnerability assessments and released fixes. âą Automate vulnerability assessment across large inventories of packages, versions, and dependencies across ecosystems. âą Integrate vulnerability discovery scanners, reconcile their findings, and connect results to assessment and patching workflows. âą Build and operate Python services, command-line tools, and internal interfaces for engineers assessing vulnerabilities, tracking patches, and managing releases. âą Work directly with stakeholders to clarify requirements, agree priorities, and define how results will be verified. âą Improve build and deployment automation, monitor production systems, and troubleshoot failures across services, containers, and data stores. âą Review code and improve automated testing, security, and maintainability. âą Use AI coding agents in day-to-day development, reviewing and testing the code they produce. âą Own production systems end to end, from requirements clarification through design, implementation, deployment, operation, and production verification. âą Improve reliability and simplify workflows across existing services and tools.
âą 5+ years of professional Python development, including building, testing, and maintaining production services. âą Strong Linux troubleshooting and production-debugging skills, including using logs, metrics, and profiling to identify and reduce CPU, memory, and I/O bottlenecks. âą Experience designing and integrating APIs and services, including handling failures, maintaining compatibility, and keeping data consistent across systems. âą Experience with asynchronous processing and event-driven systems, including message queues, retries, duplicate delivery, and recovery after interruptions. âą Experience with CI/CD, containers, and build or deployment automation, including safe rollouts and rollback procedures. âą Strong relational data-modelling and SQL skills, including query-plan analysis, indexing, transactions, and safe schema and data migrations on large datasets. âą Advanced hands-on experience using coding agents for substantial engineering tasks: planning and delegating work, providing context and constraints, supervising execution, and independently reviewing, debugging, testing, and validating the results. âą Experience with Django, Django REST Framework, Celery, and RabbitMQ. âą Experience operating services on Kubernetes and AWS, with monitoring and diagnostics using tools such as Prometheus, Grafana, and Sentry. âą Experience with software supply-chain or vulnerability-management systems, including package ecosystems, dependency graphs, version matching, and advisory formats such as OSV, VEX, or CSAF.
âą Work independently with a high level of ownership and autonomy. âą Fully remote work with flexible working hours. âą 24 paid vacation days, 10 national holidays, and unlimited sick leave. âą Private medical insurance compensation. âą Co-working and gym/sports reimbursement. âą Education budget. âą Opportunity to receive a reward for innovative ideas that the company can patent.
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