Software Engineer - Python and K8s

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - Python and K8s based in Saudi Arabia. This role offers the opportunity to build open source software that transforms how complex information systems are operated across public clouds and private infrastructure. You will develop Python-based operations software designed to automate and simplify workloads running on Kubernetes. Working across the Linux stack, you will engage with technologies spanning networking, storage, virtualization, containers, and applications. The position combines software engineering rigor with a strong focus on reliability, scalability, testing, and operational excellence. You will collaborate with globally distributed engineering teams to deliver production-ready solutions for customers adopting modern cloud technologies. This is an ideal environment for engineers who enjoy distributed systems, open source development, and solving challenging infrastructure problems. Accountabilities • Design, develop, and maintain open source operations software using Python, with a focus on reliable and scalable workloads running on Kubernetes. • Work across the Linux stack, including the kernel, networking, storage, virtualization, containers, and applications. • Develop solutions that improve the reliability, automation, and operational efficiency of complex open source systems. • Build and improve high-quality monitoring and alerting infrastructure to support reliable production operations. • Simplify the operation of open source technologies for customers and the broader open source community. • Apply sound software architecture, engineering, testing, documentation, and quality practices throughout the development lifecycle. • Collaborate with other engineering teams to ensure products operate reliably, efficiently, and at production scale. • Follow agile software development methodologies and contribute to effective development workflows. • Share technical knowledge and coach colleagues where appropriate, helping strengthen engineering capabilities across the team. • Contribute to a healthy, collaborative engineering culture within a globally distributed organization. • Work remotely while participating in global company and team events, typically involving travel once or twice per year for up to two weeks. Requirements • Bachelor’s degree or equivalent qualification in Computer Science, STEM, or a related technical field. • Strong professional experience developing software with Python and an enthusiasm for solving technically challenging problems. • Hands-on experience with Linux systems administration, package management, and production operations. • Practical experience with at least one public cloud platform. • Familiarity with Docker and Kubernetes and an understanding of containerized application environments. • Strong understanding of software reliability principles and a commitment to designing and developing dependable systems. • Interest in distributed systems and the ability to understand technologies across different layers of the Linux and cloud stack. • Strong engineering discipline, including experience with software testing, maintainable code, and technical documentation. • Good organization and time management skills, with a focus on delivering high-quality software within expected timelines. • Strong collaboration and communication skills, with the ability to work effectively within a globally distributed engineering team. • A genuine interest in open source software, cloud computing, and learning from technically strong colleagues. Benefits • Fully distributed and remote work environment. • Twice-yearly in-person team sprints and opportunities to collaborate with colleagues around the world. • Personal learning and development budget of USD 2,000 per year. • Annual compensation review. • Performance-driven annual bonus or commission in addition to base compensation. • Recognition and rewards programs. • Annual holiday leave. • Maternity and paternity leave. • Employee Assistance Program. • Opportunities to travel to new locations and meet colleagues globally. • Priority Pass access and travel upgrades for eligible long-haul company events. • Compensation considers geographical location, experience, and performance, with benefits adapted to local needs. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more Show less

Bachelor’s degree or equivalent qualification in Computer Science, STEM, or a related technical field. Strong professional experience developing software with Python and an enthusiasm for solving technically challenging problems. Hands-on experience with Linux systems administration, package management, and production operations. Practical experience with at least one public cloud platform. Familiarity with Docker and Kubernetes and an understanding of containerized application environments. Strong understanding of software reliability principles and a commitment to designing and developing dependable systems. Interest in distributed systems and the ability to understand technologies across different layers of the Linux and cloud stack. Strong engineering discipline, including experience with software testing, maintainable code, and technical documentation. Good organization and time management skills, with a focus on delivering high-quality software within expected timelines. Strong collaboration and communication skills, with the ability to work effectively within a globally distributed engineering team. A genuine interest in open source software, cloud computing, and learning from technically strong colleagues.

Design, develop, and maintain open source operations software using Python, with a focus on reliable and scalable workloads running on Kubernetes. Work across the Linux stack, including the kernel, networking, storage, virtualization, containers, and applications. Develop solutions that improve the reliability, automation, and operational efficiency of complex open source systems. Build and improve high-quality monitoring and alerting infrastructure to support reliable production operations. Simplify the operation of open source technologies for customers and the broader open source community. Apply sound software architecture, engineering, testing, documentation, and quality practices throughout the development lifecycle. Collaborate with other engineering teams to ensure products operate reliably, efficiently, and at production scale. Follow agile software development methodologies and contribute to effective development workflows. Share technical knowledge and coach colleagues where appropriate, helping strengthen engineering capabilities across the team. Contribute to a healthy, collaborative engineering culture within a globally distributed organization. Work remotely while participating in global company and team events, typically involving travel once or twice per year for up to two weeks.