The ideal candidate will have strong expertise in .NET technologies and hands-on experience with cloud platforms (Azure preferred). Responsibilities Design and implement cloud-native solutions using microservices…
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The ideal candidate will have strong expertise in .NET technologies and hands-on experience with cloud platforms (Azure preferred). Responsibilities Design and implement cloud-native solutions using microservices architecture Design and implement multi-tenant solutions, including tenant isolation models, tenant-aware auth, onboarding/offboarding automation, tenant-scoped monitoring, and per-tenant scaling and quotas.
Experience in AI/ML Infrastructure: (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). Google Cloud accelerates every organization’s ability to d...
Diseño de Soluciones: Diseñar, desarrollar e implementar soluciones de alta disponibilidad y multi-región dentro de Microsoft Azure. Migración: Migrar servicios de infraestructura existentes a soluciones basadas en la…
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Diseño de Soluciones: Diseñar, desarrollar e implementar soluciones de alta disponibilidad y multi-región dentro de Microsoft Azure. Migración: Migrar servicios de infraestructura existentes a soluciones basadas en la nube.
Knowledge of policy-based access control design and implementation, policy engines, audit logging, and traceability for policy decisions. At least 3 years of professional software development experience with modular…
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Knowledge of policy-based access control design and implementation, policy engines, audit logging, and traceability for policy decisions. At least 3 years of professional software development experience with modular design, microservice architecture, API design, and automated testing frameworks (pytest, unittest).
This is you Cloud Native Expertise: Cloud-native tools and their applicability across various providers. Patterns for cloud-native transformation and platform modernization.
You will apply deep subject matter knowledge to solve complex business and technical issues. Key Responsibilities Architect, design, and implement cloud-based sol...
The platform processes billions of data records to analyse medical and pharmaceutical drug pricing across demographics, enabling data-driven insights through highly automated, cloud-native systems. Your new role Design,…
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The platform processes billions of data records to analyse medical and pharmaceutical drug pricing across demographics, enabling data-driven insights through highly automated, cloud-native systems. Your new role Design, develop, and support highly scalable platforms handling billions of data records Build backend services using Java and Spring Boot, providing technical guidance to junior engineers Implement and optimise large-scale data processing using Databricks, Snowflake, and enterprise data platforms Deliver BI dashboards and custom visualisation widgets for pharmaceutical analytics use cases Drive automation-first engineering, including reusable services, boilerplates, and platform accelerators Introduce and scale AI-assisted development and data tooling to improve engineering productivity and delivery speed Collaborate closely with UI, Cloud, Automation, and Data Engineering teams to deliver end-to-end solutions.
Experience building long-term technical strategies to uncover new workloads with customers. Experience migrating applications and services to cloud platforms.
Preferred qualifications: Experience with database and AI integrations. Experience with machine learning operations (MLOps), data warehousing, and data pipeline development, including ETL and ELT.
Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Agentforce is the future of AI, and you are the future of Salesforce.
Collaborate with various business units to ensure alignment between business and IT architecture. Experience You'll Need To Have 8+ years of experience in enterprise architecture 4+ years of experience in large-scale IT…
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Collaborate with various business units to ensure alignment between business and IT architecture. Experience You'll Need To Have 8+ years of experience in enterprise architecture 4+ years of experience in large-scale IT system development, design, and implementation 4+ years of experience in solution design 4+ years of experience with various database technologies like Oracle, DB2, and SQL 4+ years of experience with cloud technologies, such as AWS, Azure, or GCP 4+ years of experience with Spring and microservices 8+ years of an equivalent combination of educational background, related experience, and/or military experience Experience That Would Be Great To Have Experience in the financial services industry Thank You For Considering Employment With Fiserv.
Analyze Linux kernel structures and system calls to detect and mitigate security threats. Practical knowledge of system-level security concepts and best practices.
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
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What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
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Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
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LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
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Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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