Senior site reliability engineer infrastructure állások, munkák egyetemi végzettséggel

• Develop and lead the global IT procurement strategy in alignment with company's business and digital transformation goals
• Manage IT contracts, including software, hardware, cloud services, and strategic outsourcing agreements

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.

Lead the engineering phase of wind projects, overseeing technical assessments related to civil design, planning, cost estimation, procurement, environmental permitting, stakeholder engagement, risk management, and internal approvals. Evaluate wind farm feasibility, constructability, risk...

• 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

• Operating and extending technical and structural infrastructure components for highly secure environments, both for internal platforms and customer-facing projects
• Supporting security accreditation processes and administrating relevant systems and security technologies

• 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

• 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.