Site reliability engineer observability állások, munkák

In Observability you'll build the tools for monitoring and measuring infrastructure, microservices, and sometimes totally unique workloads. You'll put the developer experience at the front of your mind and implementations, and you'll contribute deeply to understanding and preventing incidents...

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...

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Help define what Resiliency and Site Reliability Engineering means for Shopify.

Architect, design, and help implement methods to optimize Diligent's AWS environment and processes Advise product software engineering teams on product and core infrastructure design Develop and deploy infrastructure-as-code using best practices...

Architect, design, and help implement methods to optimize Diligent's AWS environment and processes Advise product software engineering teams on product and core infrastructure design Develop and deploy infrastructure-as-code using best practices...

• You hold an engineering degree in physics or microelectronics
• Experience in wafer level reliability monitoring
• Experience in computer programming (C and Linux)
• Solution oriented, positive thinker and team player
• Interested in working in a production-oriented environment

• Designing, building, testing and operating software solutions for logistics and manufacturing use cases incl. Robots, AGVs and other (semi) automated manufacturing equipment.
• Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency