Devops engineer aws állás, munka

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

Gathering and analysing the business requirements derived from the business idea Creating the E2E flows to cover the requirements Defining the feature set (use-cases) needed to fulfill the requirements Identifying the impacted components (as-is and to-be systems, modules) and their respective roles...

• Together with your multi-functional team you fully own the libraries you work on.
• We improve the platform architecture to integrate current and future standard processes.
• You contribute to a high standard of quality, robustness, and security in code and the development process.

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

Leading and mentoring cloud engineering teams, fostering collaboration, and ensuring delivery excellence Providing direct line management, coaching, and professional development for a team of cloud engineers and migration specialists Fostering a high-performing, technically excellent team focused...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with C#, .Net and Angular Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by...

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

As a lead DevOps engineer, you will work side by side with your coworkers in an agile team in an environment which will allow you create the ideal conditions for your future career....

You will work on AI/GenAI, Business Intelligence, Data strategy & data governance, Data foundation and data architecture, and Intelligent Automation topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally....

• Own technical lifecycle of 3rd party SaaS applications inventory at N26
• Design, develop, test, deploy and maintain software in a thriving environment
• Stay up to date with the latest trends in technology and you are not afraid to propose some findings during our GSDD.

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

Analyze requirements and develop solution concepts for data exchange between defined IT systems and the management of business processes in the cloud...

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• Do discovery, design, develop, test, deploy and maintain software in a thriving environment
• Manage individual project priorities and deliverables whilst working in a team who enjoy knowledge sharing sessions
• Stay up to date with the latest trends in technology
• Propose new findings during our GSDD days

Build and maintain simulation environments using NVIDIA Omniverse and Isaac Sim for robotic perception, manipulation, and navigation. Develop and integrate robotic behaviors and learning pipelines using Isaac Lab for reinforcement learning and motion planning. Create and manage OpenUSD-based...

• Support in maintaining and further developing Statista's ranking and rating databases, ensuring consistency, accuracy, and scalability
• Implement and optimize data pipelines (ETL/ELT) to automate data collection, transformation, and validation workflows

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

• Expand, develop, and maintain infrastructure and development pipelines for our Global Data Platform
• Increase automation in our cloud-based development and production environments
• Administer our cloud-native analytical database system Snowflake