Aws engineer állások, munkák

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Staff Frontend Engineer (f|m|d) - Zurich - Hybrid Work (80-100%) Company Description Welcome to SMG Swiss Marketplace Group! SMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products. We operate leading...

Design and Own End-to-End Solutions: Lead the architectural design and implementation of full-stack features, from robust backend services to intuitive internal dashboards....

• Own the evolution of our Next.js App Router storefront, ensuring it remains performant and maintainable.
• Design and implement sophisticated caching and rendering patterns, balancing SSR, ISR, RSC, and PPR to optimize user experience.

Take ownership of data engineering features, architecture, and code quality Design, implement, and maintain Databricks-based data pipelines and workflows Build and optimize ETL/ELT processes using Apache Spark on Databricks Design and manage data lakes and Lakehouse architectures (Delta Lake)...

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

• Solve concrete engineering problems around latency, throughput, consistency, data durability, and storage cost
• Own parts of the system end-to-end, from design through production rollout
• Shape the team's technical direction through design reviews, prototypes, and honest debate

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

Designing, building, and configuring applications to meet business process and application requirements Collaborate and manage the team to perform effectively Responsible for team decisions Engage with multiple teams and contribute to key decisions Provide solutions to problems for your immediate...

• Own the reliability, security, compliance, and cost efficiency of our cloud platform
• Automate the provisioning, scaling, and maintenance of our cloud infrastructure using Terraform, Kubernetes, and more

• Operate and maintain complex Hyperscaler/SAP Cloud Infrastructure networks, track significant problems, monitor performance, and perform upgrades as required.
• Engage with customers in network architecture discussions to meet their security requirements.

• You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
• Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.

• Contribute to building and maintaining robust Java microservices that power creative tools
• Explore cloud technologies and dive into AWS infrastructure alongside experienced developers
• Help ensure quality and reliability through testing and providing fresh perspectives on our solutions

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services....

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....