AI / Product Engineer (remote work)

• Own the design, development, delivery, and ongoing operation of your systems, staying hands-on with production code throughout. • Take broad business needs and turn them into technical plans, making decisions about architecture, implementation, and priorities. • Proactively identify problems and opportunities for improvement rather than waiting for tasks to be assigned. • Work directly with stakeholders to understand their needs, explain technical trade-offs, and communicate progress, risks, and blockers. • Use AI coding agents such as Claude Code and Codex as part of your daily engineering workflow, while independently reviewing, testing, and validating their output. • Identify and resolve technical bottlenecks across architecture, infrastructure, cloud resources, and observability. • Take responsibility for how your systems perform in production, including troubleshooting incidents, improving monitoring, and maintaining long-term reliability. • 5+ years of hands-on software engineering experience: Strong engineering fundamentals and ability to apply them across different languages, frameworks, and environments. • Extensive coding experience: Strong hands-on programming skills in languages such as Python, Go, Java, Rust, etc. In our AI-first workflow, you will rarely write code by hand, but you must understand how code works (design, data structures, testing, performance, security) well enough to direct AI agents and review their output as an equal. • Advanced AI usage: Regular use of LLM-based tools for development, debugging, testing, refactoring, or code review. Not just occasional experimentation. • Linux and CI/CD experience: Strong Linux fundamentals and experience building, maintaining, and troubleshooting CI/CD pipelines or runners. • Product-mindset: Ability to turn unclear requirements into a clear technical plan, make trade-offs, and prioritise based on impact. • Ownership: Experience shipping projects in high-accountability environments, where you were directly responsible for the result. • Clear communication: Professional English, clear status updates, and ability to explain technical trade-offs to different stakeholders. What's in it for you? • Stay hands-on technically while working on complex, high-impact engineering projects. • Solve challenging Linux, automation, and cybersecurity problems across mature and newer products. • Influence technical direction and make meaningful architectural decisions. • Enjoy a high level of independence

• 5+ years of hands-on software engineering experience: Strong engineering fundamentals and ability to apply them across different languages, frameworks, and environments. • Extensive coding experience: Strong hands-on programming skills in languages such as Python, Go, Java, Rust, etc. In our AI-first workflow, you will rarely write code by hand, but you must understand how code works (design, data structures, testing, performance, security) well enough to direct AI agents and review their output as an equal. • Advanced AI usage: Regular use of LLM-based tools for development, debugging, testing, refactoring, or code review. Not just occasional experimentation. • Linux and CI/CD experience: Strong Linux fundamentals and experience building, maintaining, and troubleshooting CI/CD pipelines or runners. • Product-mindset: Ability to turn unclear requirements into a clear technical plan, make trade-offs, and prioritise based on impact. • Ownership: Experience shipping projects in high-accountability environments, where you were directly responsible for the result. • Clear communication: Professional English, clear status updates, and ability to explain technical trade-offs to different stakeholders.

What's in it for you? • Stay hands-on technically while working on complex, high-impact engineering projects. • Solve challenging Linux, automation, and cybersecurity problems across mature and newer products. • Influence technical direction and make meaningful architectural decisions. • Enjoy a high level of independence and autonomy in your daily work. • 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. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (https://tuxcare.com/privacy-policies-hub/candidate-privacy-notice/), which provides detailed information on how we maintain and handle your data.

TuxCare provides security solutions for Linux and open-source software used by enterprise organisations. Our products help companies automate vulnerability patching, reduce downtime, maintain security and compliance, and support critical systems throughout their lifecycle. Learn more about TuxCare: https://tuxcare.com/ We are looking for an AI / Product Engineer to join our Endless Lifecycle Support (ELS) team. Endless Lifecycle Support (ELS) helps organizations securely continue using Linux distributions, programming language runtimes, and frameworks that have reached end of life and no longer receive standard security updates. Learn more about ELS: tuxcare.com/endless-lifecycle-support In this role, you'll take full ownership of our company-wide internal intelligence systems, making business metrics clear and accessible to employees and leadership across the organization. We're looking for someone who can independently drive technical initiatives from an initial idea to a working solution in production. You'll have the autonomy to make technical decisions, set priorities, and take responsibility for the quality, reliability, and long-term development of your systems. What You'll Do • Own the design, development, delivery, and ongoing operation of your systems, staying hands-on with production code throughout. • Take broad business needs and turn them into technical plans, making decisions about architecture, implementation, and priorities. • Proactively identify problems and opportunities for improvement rather than waiting for tasks to be assigned. • Work directly with stakeholders to understand their needs, explain technical trade-offs, and communicate progress, risks, and blockers. • Use AI coding agents such as Claude Code and Codex as part of your daily engineering workflow, while independently reviewing, testing, and validating their output. • Identify and resolve technical bottlenecks across architecture, infrastructure, cloud resources, and observability. • Take responsibility for how your systems perform in production, including troubleshooting incidents, improving monitoring, and maintaining long-term reliability. • 5+ years of hands-on software engineering experience: Strong engineering fundamentals and ability to apply them across different languages, frameworks, and environments. • Extensive coding experience: Strong hands-on programming skills in languages such as Python, Go, Java, Rust, etc. In our AI-first workflow, you will rarely write code by hand, but you must understand how code works (design, data structures, testing, performance, security) well enough to direct AI agents and review their output as an equal. • Advanced AI usage: Regular use of LLM-based tools for development, debugging, testing, refactoring, or code review. Not just occasional experimentation. • Linux and CI/CD experience: Strong Linux fundamentals and experience building, maintaining, and troubleshooting CI/CD pipelines or runners. • Product-mindset: Ability to turn unclear requirements into a clear technical plan, make trade-offs, and prioritise based on impact. • Ownership: Experience shipping projects in high-accountability environments, where you were directly responsible for the result. • Clear communication: Professional English, clear status updates, and ability to explain technical trade-offs to different stakeholders. What's in it for you? • Stay hands-on technically while working on complex, high-impact engineering projects. • Solve challenging Linux, automation, and cybersecurity problems across mature and newer products. • Influence technical direction and make meaningful architectural decisions. • Enjoy a high level of independence and autonomy in your daily work. • 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. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (https://tuxcare.com/privacy-policies-hub/candidate-privacy-notice/), which provides detailed information on how we maintain and handle your data.