System Software Engineer, Cloud (C++/Python)

THE ROLE

Everpure Cloud Dedicated (formerly Cloud Block Store) is Pure’s enterprise storage solution running in the public cloud. It brings the same features customers know from FlashArray - like data reduction (deduplication and compression), snapshots, encryption, and replication - directly into AWS and Azure. Because we reduce how much data actually needs to be stored and how many native cloud disks are required, customers can run their workloads in the cloud with lower storage cost and predictable performance instead of over‑provisioning native cloud volumes.

The service has been in production since 2019, serving enterprise, SaaS, and multicloud customers. It also acts as the storage engine for other Everpure Cloud offerings, such as Everpure Cloud Azure Native, where Azure users consume Pure storage as a native Azure service.

Our Prague‑based team owns the project on both AWS and Azure end‑to‑end. We design and build the core storage architecture, handle resiliency and performance work, and drive deployment and upgrade mechanisms. We also work closely with product managers, support, and field teams on customer issues and roadmap priorities. Because we run on top of AWS and Azure, we must deeply understand their building blocks (VMs, disks, networking, databases) and how Purity behaves on top of them.

For this role, we are looking for engineers who are curious about how things really work in the cloud, enjoy solving complex distributed‑systems problems, and are comfortable in a fast‑changing environment. Unlike traditional hardware projects, our work has to keep pace with new cloud services and features. You will help us evaluate new AWS and Azure capabilities and integrate them into our product to improve resiliency, performance, and cost efficiency for customers - while keeping the familiar, “FlashArray‑like” experience that Pure is known for.

WHAT YOU'LL DO

• Design, implement, and review new features in the Everpure Cloud Dedicated data path, primarily in C++ and/or Python, running on AWS and Azure.
• Improve the resiliency, performance, and cost efficiency of our cloud storage stack (failover behavior, HA, capacity expansion, data reduction, cloud‑specific optimizations).
• Participate in our triage rotation: analyze failures from CI pipelines and automated tests, debug issues on CBS testbeds, and drive fixes into the codebase.
• Lead or co‑lead the investigation of product issues in customer environments, from initial escalation through root‑cause analysis and long‑term fixes.
• Collaborate closely with Prague and US teams (data‑plane, control‑plane, QE, Support, Product Management, Solution Architects) to align on designs, rollouts, and operational best practices.
• Contribute to and maintain technical documentation and runbooks so that other engineers, support, and field teams can operate the product with confidence. 
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Solid basis in software engineering foundation building and maintaining backend or system‑level components in production.
• Strong programming skills in C++ or Python and a willingness to pick up new languages, tools, and frameworks as needed.
• End‑to‑end ownership mindset – from design and implementation through tests, CI pipelines, deployment, monitoring, and iterative hardening in production.
• Strong debugging and problem‑solving skills, including working with complex logs, CI failures, and issues that cross service boundaries, APIs, and cloud components.
• Curiosity and a growth mindset – you want to understand how things really work (storage, networking, cloud infrastructure) and you share that knowledge with others.
• Collaborative way of working – you communicate clearly, give and receive feedback well, and are comfortable working with distributed teams (Prague, US, and cross‑functional partners).
• Experience building or operating products in the public cloud (Azure, AWS, or GCP) is a plus, especially around reliability, performance, or cost optimization.
• Nice to have: experience with Linux, multi‑threaded or performance‑sensitive code, or CI/CD automation.

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