Devops engineer aws állás, munka

• Present Sovereign Cloud offering, technical details, and engagement model, managed service offerings to customers and stakeholders.
• Present the technical and value proposition for private cloud on various platforms (AWS, Azure, GCP, SCI etc.)

• 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.

Design and write automated test cases Expand test automation coverage Close collaboration with developers and product team Independent test case planning and implementation...

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...

• Present Sovereign Cloud offering, technical details, and engagement model, managed service offerings to customers and stakeholders.
• Present the technical and value proposition for private cloud on various platforms (AWS, Azure, GCP, SCI etc.)

Design, build, test, and maintain secure, high-performance microservices on AWS, utilizing Python and infrastructure-as-code practices with Terraform. Work closely with fellow engineers, product managers, and DevOps to deliver features, troubleshoot issues, and contribute solutions. Author,...

Develop and maintain scalable web applications using Angular or React Build and optimize RESTful APIs and microservices using Node.js, Java, or .NET Define and manage cloud infrastructure using Infrastructure as Code, such as Terraform or OpenTofu Work with relational (RDS, PostgreSQL) and NoSQL...

• Design, implement, and maintain security technologies (firewalls, SIEM, XDR, IAM, encryption, etc.
• Monitor systems and networks for security incidents and respond to threats in a timely and structured manner

Support multiple teams in setting technical direction Influencing the engineering culture of the teams, focusing on continuous learning, improvement, and collaboration Mentor and coach the cross-functional team and individuals Design, code, review, and test assigned features and user stories, in...

Build and operate the cloud infrastructure and backend services that power the platform Work primarily with Node.js/TypeScript to deliver secure, scalable, and high-performing microservices on AWS Design and maintain infrastructure as code with AWS CDK Manage CI/CD pipelines Own services...

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...

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...

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

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot
• Evaluate different LLM agent frameworks to optimize development and functionality
• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

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....

• Integration Project Participation: Contribute to various integration projects, ensuring efficient and reliable communication between systems
• Comprehensive Integration Support: Provide expert support for different middleware systems such as Seeburger BIS 6 and SAP Integration Suite (CPI)