Software Engineer Grad
Pure Storage · Santa Clara, CA · University
About this role
Pure Storage is hiring a mid-level Software Engineer based in Santa Clara, CA. The posting calls out experience with Data Structures, Performance Optimization, Automation. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $119,000–$179,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA
- Work mode
- On-site
- Education
- Bachelor's degree
- Department
- University
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
As a Software Engineer Grad, you will be part of a team that's building the future of data storage and management. You’ll apply your foundational knowledge to tackle challenging, real-world problems from low-level hardware to large-scale cloud systems. This role is a unique opportunity to directly contribute to mission-critical features that ensure our customers have a seamless, high-performance, and reliable data experience.
WHAT YOU'LL DO
- Contribute to core product development: Take ownership of key tasks within the software development lifecycle, from ideation and design to implementation and testing.
- Innovate and solve complex problems: Research and develop solutions for challenges related to data efficiency, such as optimizing data deduplication and reclamation, or improving replication across wide-area networks.
- Enhance system performance and scalability: Work on projects that improve the performance of our software, ensuring it scales effectively with ever-increasing data volumes and hardware capabilities.