Responsibilities

• Incident Management, Game Day coordination,
• Create and drive Metric/observability solutions and reviews
• Support production readiness reviews
• Cross division role model to advance the SRE practice in Siemens
• Complete technological control over methods of automation, codifying optional activities, microservice architecture, platform engineering to ensure changes, updates or technical advancements are in place for a product
• Ensure the team can provide the design, deployment, automation, and scripting solutions to drive new capabilities, visibility, and efficiency
• Simplify highly complex ideas, architectures and concepts to encourage achievable adoption
• Collaborate with other technical platforms and partners to engineer automated and integrated solutions between tools, services, teams that increase availability, reliability, and performance
• Own and ensure the internal and external SLA’s meet and exceed expectations
• Be part of maintaining a 24x7, global, highly available SaaS environment
• Participate in an on-call rotation that supports our production infrastructure
• Troubleshoot production availability incidents that often span across multiple teams and services
• Ensure the SRE team can coordinate production incident post-mortems, and contribute to solutions to prevent problem recurrence; with the goal of automated response to all non-exceptional service conditions
• Communicate to business and technical partners on incidents as they occur when they impact system performance or availability at a critical level

Required Knowledge/Skills, Education, and Experience

• Bachelor’s Degree or equivalent experience;

• Proven experience as a Site Reliability Engineer or equivalent role;

• Experience working in a large organization though a SRE transformation where existing applications were adapted to contemporary targets

• Proven experience with automation via scripting & API development

• Experience with software development in the cloud

• Experience with monitoring tools  (Datadog, CloudWatch, CloudTrail, Cloudability, or equivalent tools)

• Proven experience with containerization, specifically Kubernetes

• Experience with Amazon Web Services (AWS) services and Terraform, CloudFormation, Ansible, or equivalent tools