{"intro":"Professional Galaxy is an IT and technical consultancy providing highly specialized expertise in IT, software development, SAP, procurement, electronics, and mechanical design. We collaborate with experienced senior experts, delivering strategically value-creating skills to some of Sweden’s most complex and analytically demanding projects. Our focus is always on high quality, professionalism, and clear, measurable results. We are now looking for a System Engineer for our client.","responsibilities":"In this role, you are responsible for the platform’s production readiness with a particular focus on capacity planning, performance, and scalability in a Kubernetes-based environment. You ensure the solution is robust, stable, and dimensioned to handle current and future loads. You will work closely with the Tech Lead, DevOps team, and external cloud provider to jointly ensure that architecture, infrastructure, and applications are correctly configured and optimized for large-scale operations. The role includes end-to-end responsibility for measuring, analyzing, modeling, and verifying that the platform can handle expected traffic volumes, user growth, and business-critical requirements.nnKey responsibilities:n- Ensure production readiness before releases and major changesn- Perform capacity planning and develop forecasts based on usage data and growth scenariosn- Design and execute performance and load testsn- Identify bottlenecks and propose improvements in both application and infrastructuren- Ensure high availability, resilience, and efficient autoscaling in the Kubernetes environmentn- Establish and further develop observability (monitoring, logging, metrics, and tracing)n- Automate testing, scaling strategies, and production environment validationn- Collaborate with cloud providers on optimization, cost efficiency, and best practicesnnIn short: you are responsible for measuring, modeling, and proving that the platform functions – and continues to function – at scale.","qualifications":"Requirements:n- Experience with cloud platforms (e.g., AWS, Azure, or GCP)n- Deep knowledge of Kubernetes and container-based operationsn- Operational experience with Kubernetes (deployment, scaling, troubleshooting)n- Good understanding of databases and data stores (relational and/or NoSQL)n- Experience with performance and load testingn- Competence in automation (CI/CD, Infrastructure as Code, test automation)n- Experience with observability tools (monitoring, logging, metrics, tracing)n- Ability to analyze measurement data and translate insights into concrete improvements"}