Guía Turístico/a Alhambra (necesario carnet) - Play Granada - Granada

No se requiere experiencia previa como profesor.

Overview In this role you drive performance characterization and optimization of RTI Connext, delivering insights through modeling, benchmarking, and bottleneck analysis. You collaborate with cross-functional teams to embed performance considerations in the software lifecycle and report findings clearly to stakeholders. You will work on high-stakes, latency-sensitive systems and help scale performance across complex workloads. This is a hands-on role at a company focused on reliable, real-time data streaming. Compensaciones / Beneficios • Hybrid office schedule, • Home office stipend, • 25 days paid vacation, • Real Vacation Bonus, • Annual bonus based on performance, • English classes reimbursement Responsabilidades, • Design and execute performance tests and regression detection strategies to identify and address bottlenecks in Connext software, • Conduct performance modeling and simulations to forecast behavior under varying workloads, • Characterize workloads and network usage to understand resource consumption and system trends, • Develop and maintain shared performance measurement tools and infrastructure, • Collaborate with development teams to integrate performance considerations into the software lifecycle, • Publish performance results with actionable insights and visualizations Requisitos principales, • Advanced degree in Computer Science, HPC, or related field, • 5+ years of practical experience in performance modeling, testing, analysis, and optimization for critical software systems, • Experience with performance testing tools (gprof) and frameworks (JMeter, LoadRunner) is a plus, • Experience with CI/CD pipelines and automated performance testing and benchmarking, • Proficiency in programming languages such as C++, Python, Java, or similar, • Excellent problem-solving and analytical skills with keen attention to detail, • excellent problem-solving, • analytical mindset, • attention to detail, • gprof, • perf, • JMeter

The Institut de Física d'Altes Energies (IFAE) invites expressions of interest for the Ramón y Cajal Fellowship Programme in gravitational-wave physics, under a tenure-track faculty scheme. The successful candidate is expected to lead their own research, contribute to LIGO/Virgo related activities, and advance the Einstein Telescope roadmap, with salary supplement and potential permanent placement. IFAE provides resources, a five-year contract framework, and a supportive environment for #J-18808-Ljbffr

Overview In this role you drive performance characterization and optimization of RTI Connext, delivering insights through modeling, benchmarking, and bottleneck analysis. You collaborate with cross-functional teams to embed performance considerations in the software lifecycle and report findings clearly to stakeholders. You will work on high-stakes, latency-sensitive systems and help scale performance across complex workloads. This is a hands-on role at a company focused on reliable, real-time data streaming. Compensaciones / Beneficios • Hybrid office schedule, • Home office stipend, • 25 days paid vacation, • Real Vacation Bonus, • Annual bonus based on performance, • English classes reimbursement Responsabilidades, • Design and execute performance tests and regression detection strategies to identify and address bottlenecks in Connext software, • Conduct performance modeling and simulations to forecast behavior under varying workloads, • Characterize workloads and network usage to understand resource consumption and system trends, • Develop and maintain shared performance measurement tools and infrastructure, • Collaborate with development teams to integrate performance considerations into the software lifecycle, • Publish performance results with actionable insights and visualizations Requisitos principales, • Advanced degree in Computer Science, HPC, or related field, • 5+ years of practical experience in performance modeling, testing, analysis, and optimization for critical software systems, • Experience with performance testing tools (gprof) and frameworks (JMeter, LoadRunner) is a plus, • Experience with CI/CD pipelines and automated performance testing and benchmarking, • Proficiency in programming languages such as C++, Python, Java, or similar, • Excellent problem-solving and analytical skills with keen attention to detail, • excellent problem-solving, • analytical mindset, • attention to detail, • gprof, • perf, • JMeter

Overview In this role you drive performance characterization and optimization of RTI Connext, delivering insights through modeling, benchmarking, and bottleneck analysis. You collaborate with cross-functional teams to embed performance considerations in the software lifecycle and report findings clearly to stakeholders. You will work on high-stakes, latency-sensitive systems and help scale performance across complex workloads. This is a hands-on role at a company focused on reliable, real-time data streaming. Compensaciones / Beneficios • Hybrid office schedule, • Home office stipend, • 25 days paid vacation, • Real Vacation Bonus, • Annual bonus based on performance, • English classes reimbursement Responsabilidades, • Design and execute performance tests and regression detection strategies to identify and address bottlenecks in Connext software, • Conduct performance modeling and simulations to forecast behavior under varying workloads, • Characterize workloads and network usage to understand resource consumption and system trends, • Develop and maintain shared performance measurement tools and infrastructure, • Collaborate with development teams to integrate performance considerations into the software lifecycle, • Publish performance results with actionable insights and visualizations Requisitos principales, • Advanced degree in Computer Science, HPC, or related field, • 5+ years of practical experience in performance modeling, testing, analysis, and optimization for critical software systems, • Experience with performance testing tools (gprof) and frameworks (JMeter, LoadRunner) is a plus, • Experience with CI/CD pipelines and automated performance testing and benchmarking, • Proficiency in programming languages such as C++, Python, Java, or similar, • Excellent problem-solving and analytical skills with keen attention to detail, • excellent problem-solving, • analytical mindset, • attention to detail, • gprof, • perf, • JMeter

T-Systems suchet einen hoch erfahrenen AI-Assisted Engineering Lead, der KI-gestützte SDLC-Muster definiert und OpenStack-Analyseprojekte leitet. Sie coachen Teams, etablieren Qualitätskontrollen und arbeiten eng mit Architektur-, Sicherheits-, DevOps- und Testing-Teams zusammen. Der Kandidat verfügt über umfassende Praxis in KI-Entwicklungsplattformen, Coding-Agenten und mehrsprachigen Programmierumgebungen sowie Cloud-nativen Technologien und führt Senior Engineers sicher durch komplexe #J-18808-Ljbffr