Site Reliability Engineer
Pure Storage · Prague, Czech Republic · Engineering
About this role
Pure Storage is hiring a mid-level Site Reliability Engineer in the software engineering function based in Prague, Czech Republic. The posting calls out experience with Python, Java, C, DevOps.
- Role
- Site Reliability Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Prague, Czech Republic
- Department
- Engineering
More roles at Pure Storage
Job description
from Pure Storage careersWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
Join Everpure organization as a Site Reliability Engineer, where you will be instrumental in ensuring the performance and stability of our mission-critical engineering infrastructure and production services across a global environment. You will be a hybrid software and systems expert, owning the reliability, operations, and development of core applications that power Pure’s product innovation. This role is a unique opportunity to drive efficiency and set the standard for operational excellence through automation, blameless postmortems, and setting ambitious SLOs alongside fellow engineers.
WHAT YOU'LL DO
- Establish and maintain impeccable service reliability for core cloud platforms and infrastructure by implementing robust monitoring, proactive incident response, and driving root cause analysis (RCA) and resolution for production issues in a 24x7 environment.
- Participate in the transformation of operational practices by identifying, designing, and implementing automation and orchestration solutions for manual cloud service operations and deployment, significantly enhancing efficiency and reducing human error.